select titles from springer · second edition, provides a comprehensive intro-duction to the...

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International Year of StatisticsSelect Titles from Springer

springer.com Mathematics 2

Mathematics

R.C. Mittelhammer, Washington State University, Pullman,USA

Mathematical Statistics forEconomics and BusinessMathematical Statistics for Economics and Business,Second Edition, provides a comprehensive intro-duction to the principles of mathematical statisticswhich underpin statistical analyses in the fields of eco-nomics, business, and econometrics. The selectionof topics in this textbook is designed to provide stu-dents with a conceptual foundation that will facilitatea substantial understanding of statistical applicationsin these subjects. This new edition has been updatedthroughout and now also includes a downloadableStudent Answer Manual containing detailed solutionsto half of the over 300 end-of-chapter problems. Afterintroducing the concepts of probability, random vari-ables,[...]

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Hardcover

2013. XXIX, 742 p. 93 illus.▶ $99.00ISBN 978-1-4614-5021-4Usually dispatched within 3 to 5 business days.

Statistics

J. Albert, Bowling Green State University, Bowling Green,USA

Bayesian Computation with RThere has been a dramatic growth in the develop-ment and application of Bayesian inferential meth-ods. Some of this growth is due to the availability ofpowerful simulation-based algorithms to summarizeposterior distributions. There has been also a grow-

ing interest in the use of the system R for statisticalanalyses. R's open source nature, free availability, andlarge number of contributor packages have made Rthe software of choice for many statisticians in edu-cation and industry. Bayesian Computation with Rintroduces Bayesian modeling by the use of computa-tion using the R language. The early chapters presentthe basic tenets of Bayesian thinking by use of familiarone and[...]


Softcover

2009. XII, 299 p. (Use R!)▶ $59.95ISBN 978-0-387-92297-3Usually dispatched within 3 to 5 business days.

J. Albert, Bowling Green State University, Bowling Green,USA; M. Rizzo, Bowling Green State University, BowlingGreen, USA

R by ExampleR by Example is an example-based introduction tothe statistical computing environment that does notassume any previous familiarity with R or other soft-ware packages. R functions are presented in the con-text of interesting applications with real data. Thepurpose of this book is to illustrate a range of sta-tistical and probability computations using R forpeople who are learning, teaching, or using statis-tics. Specifically, this book is written for users whohave covered at least the equivalent of (or are cur-rently studying) undergraduate level calculus-basedcourses in statistics. These users are learning or apply-ing exploratory and inferential methods for analyzingdata and this[...]


Hardcover2012. XIII, 359p. 125 illus., 21 illus. in color. (Use R!)▶ $64.95ISBN 978-1-4614-1364-6Usually dispatched within 3 to 5 business days.

J. Beyersmann, Universitätsklinikum Freiburg, Freiburg, Ger-many; A. Allignol, Universitätklinikum Freiburg, Freiburg,Germany; M. Schumacher, Universitätsklinikum Freiburg,Freiburg, Germany

Competing Risks and MultistateModels with RThis book covers competing risks and multistatemodels, sometimes summarized as event historyanalysis. These models generalize the analysis of timeto a single event (survival analysis) to analysing thetiming of distinct terminal events (competing risks)and possible intermediate events (multistate models).Both R and multistate methods are promoted with afocus on nonparametric methods.


Softcover2012. XI, 245p. 49 illus.. (Use R!)▶ $59.95ISBN 978-1-4614-2034-7Usually dispatched within 3 to 5 business days.

D. Borcard, Université de Montréal, Montreal, Canada; F.Gillet, Université de Franche-Comté, Besançon CX, France; P.Legendre, Université de Montréal, Montreal, Canada

Numerical Ecology with RNumerical Ecology with R provides a long-awaitedbridge between a textbook in Numerical Ecology andthe implementation of this discipline in the R lan-guage. After short theoretical overviews, the authorsaccompany the users through the exploration of themethods by means of applied and extensively com-mented examples. Users are invited to use this bookas a teaching companion at the computer. The travelstarts with exploratory approaches, proceeds with theconstruction of association matrices, then addressesthree families of methods: clustering, unconstrainedand canonical ordination, and spatial analysis. All thenecessary data files, the scripts used in the chapters, aswell as the[...]


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springer.com Statistics 3

Softcover2011. XII, 306 p. (Use R!)▶ $64.95ISBN 978-1-4419-7975-9Usually dispatched within 3 to 5 business days.

P. Bühlmann, Seminar for Statistics, Zürich, Switzerland; S.van de Geer

Statistics for High-DimensionalDataMethods, Theory and Applications

Modern statistics deals with large and complex datasets, and consequently with models containing a largenumber of parameters. This book presents a detailedaccount of recently developed approaches, includingthe Lasso and versions of it for various models, boost-ing methods, undirected graphical modeling, and pro-cedures controlling false positive selections.A specialcharacteristic of the book is that it contains compre-hensive mathematical theory on high-dimensionalstatistics combined with methodology, algorithms andillustrations with real data examples. This in-depthapproach highlights the methods’ great potential andpractical applicability in a variety of settings. As such,it[...]


Hardcover2011. XVII, 556p. 31 illus., 8 illus. in color. (Springer Series inStatistics)▶ $149.00ISBN 978-3-642-20191-2Usually dispatched within 3 to 5 business days.

J. Chambers, Stanford University, Stanford, USA

Software for Data AnalysisProgramming with R

John Chambers has been the principal designer of theS language since its beginning, and in 1999 receivedthe ACM System Software award for S, the only sta-

tistical software to receive this award. He is author orcoauthor of the landmark books on S. Now he turnsto R, the enormously successful open-source systembased on the S language. R's international support andthe thousands of packages and other contributionshave made it the standard for statistical computingin research and teaching. This book guides the readerthrough programming with R, beginning with sim-ple interactive use and progressing by gradual stages,starting with simple functions. More advanced pro-gramming techniques[...]


Softcover2008. XIV, 498 p. (Statistics and Computing)▶ $39.95ISBN 978-1-4419-2612-8Usually dispatched within 3 to 5 business days.

S. Coles, Università di Padova, Padova, Italy

An Introduction to StatisticalModeling of Extreme ValuesDirectly oriented towards real practical application,this book develops both the basic theoretical frame-work of extreme value models and the statistical infer-ential techniques for using these models in practice.Intended for statisticians and non-statisticians alike,the theoretical treatment is elementary, with heuris-tics often replacing detailed mathematical proof. Mostaspects of extreme modeling techniques are covered,including historical techniques (still widely used)and contemporary techniques based on point processmodels. A wide range of worked examples, using gen-uine datasets, illustrate the various modeling pro-cedures and a concluding chapter provides a briefintroduction[...]


Hardcover2001. XIV, 209 p. (Springer Series in Statistics)▶ $159.00ISBN 978-1-85233-459-8Usually dispatched within 3 to 5 business days.

P.S.P. Cowpertwait, Massey University, Auckland, NewZealand; A.V. Metcalfe, University of Adelaide, Adelaide,Australia

Introductory Time Series with RYearly global mean temperature and ocean levels,daily share prices, and the signals transmitted backto Earth by the Voyager space craft are all examplesof sequential observations over time known as timeseries. This book gives you a step-by-step introduc-

tion to analysing time series using the open sourcesoftware R. Each time series model is motivated withpractical applications, and is defined in mathemat-ical notation. Once the model has been introducedit is used to generate synthetic data, using R code,and these generated data are then used to estimate itsparameters. This sequence enhances understanding ofboth the time series model and the R function used tofit the model to[...]


Softcover

2009. XVI, 256p. (Use R!)▶ $59.95ISBN 978-0-387-88697-8Usually dispatched within 3 to 5 business days.

J.D. Cryer, University of Iowa, Iowa City, USA; K.-S. Chan, Uni-versity of Iowa, Iowa City, USA

Time Series AnalysisWith Applications in R

The book was developed for a one-semester courseusually attended by students in statistics, econom-ics, business, engineering, and quantitative social sci-ences. Basic applied statistics is assumed throughmultiple regression. Calculus is assumed only to theextent of minimizing sums of squares but a calcu-lus-based introduction to statistics is necessary for athorough understanding of some of the theory. How-ever, required facts concerning expectation, variance,covariance, and correlation are reviewed in appen-dices. Also, conditional expectation properties andminimum mean square error prediction are devel-oped in appendices. Actual time series data drawnfrom various disciplines are[...]


Hardcover

2008. XIV, 491p. (Springer Texts in Statistics)▶ $97.00ISBN 978-0-387-75958-6Usually dispatched within 3 to 5 business days.






4 Statistics springer.com

P. Dalgaard, Copenhagen Business School, Frederiksberg,Denmark

Introductory Statistics with RR is an Open Source implementation of the well-known S language. It works on multiple computingplatforms and can be freely downloaded. R is thus ide-ally suited for teaching at many levels as well as forpractical data analysis and methodological develop-ment. This book provides an elementary-level intro-duction to R, targeting both non-statistician scientistsin various fields and students of statistics. The mainmode of presentation is via code examples with lib-eral commenting of the code and the output, fromthe computational as well as the statistical viewpoint.Brief sections introduce the statistical methods beforethey are used. A supplementary R package can bedownloaded and[...]


Softcover

2008. XVI, 364p. (Statistics and Computing)▶ $64.95ISBN 978-0-387-79053-4Usually dispatched within 3 to 5 business days.

F.M. Dekking, C. Kraaikamp, H.P. Lopuhaä, L.E. Meester

A Modern Introduction toProbability and StatisticsUnderstanding Why and How

Probability and Statistics are studied by most sciencestudents. Many current texts in the area are just cook-books and, as a result, students do not know whythey perform the methods they are taught, or whythe methods work. The strength of this book is that itreaddresses these shortcomings; by using examples,often from real-life and using real data, the authorsshow how the fundamentals of probabilistic and sta-tistical theories arise intuitively. A Modern Introduc-tion to Probability and Statistics has numerous quickexercises to give direct feedback to students. In addi-tion there are over 350 exercises, half of which have

answers, of which half have full solutions. A websitegives[...]


Hardcover

2005. XV, 486 p. 120 illus. (Springer Texts in Statistics)▶ $59.95ISBN 978-1-85233-896-1Usually dispatched within 3 to 5 business days.

J.L. Devore, California Polytechnic State University, San LuisObispo, USA; K.N. Berk, Illinois State University, Normal, USA

Modern Mathematical Statisticswith ApplicationsMany mathematical statistics texts are heavily ori-ented toward a rigorous mathematical development ofprobability and statistics, without much attention paidto how statistics is actually used.. In contrast, Mod-ern Mathematical Statistics with Applications, SecondEdition strikes a balance between mathematical foun-dations and statistical practice. In keeping with therecommendation that every math student shouldstudy statistics and probability with an emphasis ondata analysis, accomplished authors Jay Devore andKenneth Berk make statistical concepts and methodsclear and relevant through careful explanations and abroad range of applications involving real data. Themain focus of[...]


Hardcover

2012. XII, 845p. 237 illus.. With online files/update.(Springer Texts in Statistics)▶ $119.00ISBN 978-1-4614-0390-6Usually dispatched within 3 to 5 business days.

Y. Dodge

The Concise Encyclopedia ofStatisticsThe Concise Encyclopedia of Statistics presents theessential information about statistical tests, concepts,and analytical methods in language that is accessi-ble to practitioners and students of the vast commu-nity using statistics in medicine, engineering, physicalscience, life science, social science, and business/eco-nomics. The reference is alphabetically arranged toprovide quick access to the fundamental tools of sta-tistical methodology and biographies of famous statis-ticians. The more than 500 entries include definitions,history, mathematical details, limitations, examples,references, and further readings. All entries includecross-references as well as the key citations. The[...]


Hardcover2008. X, 616p.▶ $299.00ISBN 978-0-387-31742-7Usually dispatched within 3 to 5 business days.

R. Durrett, Duke University, Durham, USA

Essentials of Stochastic ProcessesThis book is for a first course in stochastic processestaken by undergraduates or master’s students whohave had a course in probability theory. It coversMarkov chains in discrete and continuous time, Pois-son processes, renewal processes, martingales, andmathematical finance. One can only learn a subjectby seeing it in action, so there are a large number ofexamples and more than 300 carefully chosen exer-cises to deepen the reader’s understanding The bookhas undergone a thorough revision since the first edi-tion. There are many new examples and problemswith solutions that use the TI-83 to eliminate thetedious details of solving linear equations by hand.Some material that was[...]








Hardcover

2012. X, 265 p. 27 illus., 2 illus. in color. (SpringerTexts in Statistics)▶ $69.95ISBN 978-1-4614-3614-0Usually dispatched within 3 to 5 business days.

V. Esposito Vinzi, ESSEC Business School of Paris, Cergy Pon-toise CX, France; W.W. Chin, University of Houston, Houston,USA; J. Henseler, Radboud University, Nijmegen, Nether-lands; H. Wang, BeiHang University, Beijing, China, People'sRepublic (Eds.)

Handbook of Partial LeastSquaresConcepts, Methods and Applications

The "Handbook of Partial Least Squares (PLS) andMarketing: Concepts, Methods and Applications" isthe second volume in the series of the Handbooks ofComputational Statistics. This Handbook representsa comprehensive overview of PLS methods with spe-cific reference to their use in Marketing and with adiscussion of the directions of current research andperspectives. The Handbook covers the broad areaof PLS Methods from Regression to Structural Equa-tion Modeling, from methods to applications, fromsoftware to interpretation of results. The Handbookfeatures papers on the use and the analysis of latentvariables and indicators by means of the PLS PathModeling approach from the design[...]


Hardcover2010. X, 850p. 238 illus.. (Springer Handbooks ofComputational Statistics)▶ $449.00ISBN 978-3-540-32825-4Usually dispatched within 3 to 5 business days.

B. Everitt, King's College London, London, United Kingdom;T. Hothorn, Universit"at M"unchen, M"unchen, Germany

An Introduction to AppliedMultivariate Analysis with RThe majority of data sets collected by researchers inall disciplines are multivariate, meaning that severalmeasurements, observations, or recordings are takenon each of the units in the data set. These units mightbe human subjects, archaeological artifacts, coun-tries, or a vast variety of other things. In a few cases,it may be sensible to isolate each variable and studyit separately, but in most instances all the variablesneed to be examined simultaneously in order to fullygrasp the structure and key features of the data. Forthis purpose, one or another method of multivariateanalysis might be helpful, and it is with such methodsthat this book is largely concerned.[...]


Softcover

2011. XIV, 274p. 92 illus.. (Use R!)▶ $59.95ISBN 978-1-4419-9649-7Usually dispatched within 3 to 5 business days.

D.P. Foster, R.A. Stine, University of Pennsylvania, Philadel-phia, USA; R.P. Waterman

Basic Business StatisticsA Casebook

This book provides a set of case studies that can sup-plement any business statistics text. Developed at theWharton School at the University of Pennsylvania,it is used for the beginning statistics course for MBAstudents. The casebook provides the latest in dataanalysis techniques, and includes a discussion of JMPand Minitab commands.


Softcover

1998. XVI, 244 p.▶ $69.95

ISBN 978-0-387-98354-7Usually dispatched within 3 to 5 business days.

C. Fraser, University of Virginia, Charlottesville, USA

Business Statistics forCompetitive Advantage withExcel 2010Basics, Model Building, and Cases

Exceptional managers know that they can createcompetitive advantages by basing decisions on per-formance response under alternative scenarios. Tocreate these advantages, managers need to understandhow to use statistics to provide information on per-formance response under alternative scenarios. Thisupdated edition of the popular text helps businessstudents develop competitive advantages for use intheir future careers as decision makers. Students learnto build models using logic and experience, producestatistics using Excel 2010 with shortcuts, and trans-late results into implications for decision makers. Theauthor emphasizes communicating results effectivelyin plain English[...]


Softcover

2012. XVI, 469p. 357 illus., 354 illus. in color.▶ $99.00ISBN 978-1-4419-9856-9This format is available online on SpringerLink.comwithin an e-book package.

L.M. Friedman, C.D. Furberg, Wake Forest University Schoolof Medicin, Winston-Salem, USA; D.L. DeMets, University ofWisconsin-Madison, Madison, USA

Fundamentals of Clinical TrialsThis is the fourth edition of a very successful textbookon clinical trials methodology, written by three rec-ognized experts who have long and extensive experi-ence in all areas of clinical trials. Most chapters havebeen revised considerably from the third edition. Achapter on ethics has been added and topics such as






noninferiority and adaptive designs now receive con-siderable discussion. There is much new materialon adverse events, adherence, data monitoring, andissues in analysis. This book is intended for the clini-cal researcher who is interested in designing a clinicaltrial and developing a protocol. It is also of value toresearchers and practitioners who must critically[...]


Softcover

2010. XVIII, 390p. 45 illus..▶ $69.95ISBN 978-1-4419-1585-6Usually dispatched within 3 to 5 business days.

F.E. Harrell, Vanderbilt University, Nashville, USA

Regression Modeling StrategiesWith Applications to Linear Models, LogisticRegression, and Survival Analysis

Many texts are excellent sources of knowledge aboutindividual statistical tools, but the art of data analy-sis is about choosing and using multiple tools. Insteadof presenting isolated techniques, this text empha-sizes problem solving strategies that address the manyissues arising when developing multivariable mod-els using real data and not standard textbook exam-ples. It includes imputation methods for dealing withmissing data effectively, methods for dealing withnonlinear relationships and for making the estima-tion of transformations a formal part of the modelingprocess, methods for dealing with "too many variablesto analyze and not enough observations," and power-ful model[...]


Hardcover

2001. XXIII, 571 p. (Springer Series in Statistics)▶ $119.00ISBN 978-0-387-95232-1Usually dispatched within 3 to 5 business days.

T. Hastie, Stanford University, Stanford, USA; R. Tibshirani,Stanford University, Stanford, USA; J. Friedman, StanfordUniversity, Stanford, USA

The Elements of StatisticalLearningData Mining, Inference, and Prediction, SecondEdition

During the past decade there has been an explosionin computation and information technology. With ithave come vast amounts of data in a variety of fieldssuch as medicine, biology, finance, and marketing.The challenge of understanding these data has led tothe development of new tools in the field of statistics,and spawned new areas such as data mining, machinelearning, and bioinformatics. Many of these toolshave common underpinnings but are often expressedwith different terminology. This book describes theimportant ideas in these areas in a common concep-tual framework. While the approach is statistical, theemphasis is on concepts rather than mathematics.Many examples are[...]


Hardcover

2009. XXII, 746p. 600 illus. in color. (Springer Series inStatistics)▶ $89.95ISBN 978-0-387-84857-0Online orders shipping within 2-3 days.

P.D. Hoff, University of Washington, Seattle, USA

A First Course in BayesianStatistical MethodsThis book provides a compact self-contained intro-duction to the theory and application of Bayesianstatistical methods. The book is accessible to read-ers having a basic familiarity with probability, yetallows more advanced readers to quickly grasp theprinciples underlying Bayesian theory and methods.The examples and computer code allow the reader to

understand and implement basic Bayesian data analy-ses using standard statistical models and to extendthe standard models to specialized data analysis sit-uations. The book begins with fundamental notionssuch as probability, exchangeability and Bayes' rule,and ends with modern topics such as variable selec-tion in regression,[...]


Hardcover

2009. VIII, 270p. (Springer Texts in Statistics)▶ $69.95ISBN 978-0-387-92299-7Usually dispatched within 3 to 5 business days.

W.K. Härdle, Humboldt-Universität zu Berlin, Berlin, Ger-many; L. Simar, Katholieke Univeristeit Leuven, Leuven, Bel-gium

Applied Multivariate StatisticalAnalysisMost of the observable phenomena in the empiri-cal sciences are of a multivariate nature. In finan-cial studies, assets are observed simultaneously andtheir joint development is analysed to better under-stand general risk and to track indices. In medicinerecorded observations of subjects in different loca-tions are the basis of reliable diagnoses and medica-tion. In quantitative marketing consumer preferencesare collected in order to construct models of con-sumer behavior. The underlying data structure ofthese and many other quantitative studies of appliedsciences is multivariate. Focusing on applications thisbook presents the tools and concepts of multivariatedata analysis in a[...]


Softcover

2012. XVII, 516p. 424 illus., 28 illus. in color.▶ $89.95ISBN 978-3-642-17228-1Usually dispatched within 3 to 5 business days.







S. Højsgaard, Aalborg University, Aalborg Ø, Denmark; D.Edwards, Aarhus University, Tjele, Denmark; S. Lauritzen,University of Oxford, Oxford, United Kingdom

Graphical Models with RGraphical models in their modern form have beenaround since the late 1970s and appear today in manyareas of the sciences. Along with the ongoing devel-opments of graphical models, a number of differentgraphical modeling software programs have beenwritten over the years. In recent years many of thesesoftware developments have taken place within theR community, either in the form of new packages orby providing an R interface to existing software. Thisbook attempts to give the reader a gentle introductionto graphical modeling using R and the main featuresof some of these packages. In addition, the book pro-vides examples of how more advanced aspects ofgraphical modeling can[...]


Softcover2012. IX, 182p. 112 illus., 24 illus. in color. (Use R!)▶ $59.95ISBN 978-1-4614-2298-3Usually dispatched within 3 to 5 business days.

A.J. Izenman, Temple University, Philadelphia, USA

Modern Multivariate StatisticalTechniquesRegression, Classification, and ManifoldLearning

Remarkable advances in computation and data stor-age and the ready availability of huge data sets havebeen the keys to the growth of the new disciplines ofdata mining and machine learning, while the enor-mous success of the Human Genome Project hasopened up the field of bioinformatics. These excit-ing developments, which led to the introduction ofmany innovative statistical tools for high-dimensionaldata analysis, are described here in detail. The authortakes a broad perspective; for the first time in a bookon multivariate analysis, nonlinear methods are dis-

cussed in detail as well as linear methods. Techniquescovered range from traditional multivariate methods,such as multiple[...]


Hardcover

2008. XXV, 733 p. 598 illus. (Springer Texts inStatistics)▶ $99.00ISBN 978-0-387-78188-4Online orders shipping within 2-3 days.

D.G. Kleinbaum, Emory University, Atlanta, USA; M. Klein,Emory University, Atlanta, USA

Logistic RegressionA Self-Learning Text

This very popular textbook is now in its third edi-tion. Whether students or working professionals,readers appreciate its unique "lecture book" format.They often say the book reads like they are listeningto an outstanding lecturer. This edition includes threenew chapters, an updated computer appendix, andan expanded section about modeling guidelines thatconsider causal diagrams. Like previous editions, thistextbook provides a highly readable description offundamental and more advanced concepts and meth-ods of logistic regression. It is suitable for researchersand statisticians in medical and other life sciences aswell as academicians teaching second-level regressionmethods[...]


Hardcover

2010. XIV, 616p. (Statistics for Biology and Health)▶ $99.00ISBN 978-1-4419-1741-6Usually dispatched within 3 to 5 business days.

D.G. Kleinbaum, Emory University, Atlanta, USA; M. Klein,Emory University, Atlanta, USA

Survival AnalysisA Self-Learning Text, Third Edition

This greatly expanded third edition of Survival Analy-sis- A Self-learning Text provides a highly readabledescription of state-of-the-art methods of analysis ofsurvival/event-history data. This text is suitable forresearchers and statisticians working in the medicaland other life sciences as well as statisticians in acade-mia who teach introductory and second-level courseson survival analysis. The third edition continues touse the unique "lecture-book" format of the first twoeditions with one new chapter, additional sectionsand clarifications to several chapters, and a revisedcomputer appendix. The Computer Appendix, withstep-by-step instructions for using the computer[...]


Hardcover

2012. XV, 700p. 500 illus.. (Statistics for Biology andHealth)▶ $99.00ISBN 978-1-4419-6645-2Usually dispatched within 3 to 5 business days.

V.G. Kulkarni, University of North Carolina, Chapel Hill, USA

Introduction to Modeling andAnalysis of Stochastic SystemsThis is an introductory-level text on stochastic mod-eling. It is suited for undergraduate students in engi-neering, operations research, statistics, mathematics,actuarial science, business management, computerscience, and public policy. It employs a large num-ber of examples to teach the students to use stochasticmodels of real-life systems to predict their perfor-mance, and use this analysis to design better systems.The book is devoted to the study of important classesof stochastic processes: discrete and continuoustime Markov processes, Poisson processes, renewaland regenerative processes, semi-Markov processes,






queueing models, and diffusion processes. The booksystematically[...]


Hardcover

2011. XIII, 313 p. (Springer Texts in Statistics)▶ $89.95ISBN 978-1-4419-1771-3Usually dispatched within 3 to 5 business days.

E.L. Lehmann

Fisher, Neyman, and the Creationof Classical StatisticsClassical statistical theory—hypothesis testing, esti-mation, and the design of experiments and samplesurveys—is mainly the creation of two men: RonaldA. Fisher (1890-1962) and Jerzy Neyman (1894-1981). Their contributions sometimes complemented eachother, sometimes occurred in parallel, and, particu-larly at later stages, often were in strong opposition. The two men would not be pleased to see their nameslinked in this way, since throughout most of theirworking lives they detested each other. Neverthe-less, they worked on the same problems, and throughtheir combined efforts created a new discipline.Thisnew book by E.L. Lehmann, himself a student ofNeyman’s, explores the[...]


Softcover2011. VIII, 115p. 8 illus..▶ $34.95ISBN 978-1-4419-9499-8Usually dispatched within 3 to 5 business days.

R.A. Muenchen, University of Tennessee, Knoxville, USA

R for SAS and SPSS UsersR is a powerful and free software system for dataanalysis and graphics, with over 5,000 add-on pack-ages available. This book introduces R using SAS and

SPSS terms with which you are already familiar. Itdemonstrates which of the add-on packages are mostlike SAS and SPSS and compares them to R's built-in functions. It steps through over 30 programs writ-ten in all three packages, comparing and contrastingthe packages' differing approaches. The programs andpractice datasets are available for download.The glos-sary defines over 50 R terms using SAS/SPSS jargonand again using R jargon. The table of contents andthe index allow you to find equivalent R functions bylooking up both SAS[...]


Hardcover

2011. XXVIII, 686 p. 118 illus., 32 illus. in color.(Statistics and Computing)▶ $99.00ISBN 978-1-4614-0684-6Usually dispatched within 3 to 5 business days.

J. Pinheiro, Novartis Pharmaceuticals Corporation, EastHanover, USA; D. Bates, University of Wisconsin, Madison,Madison, USA

Mixed-Effects Models in S and S-PLUSThis paperback edition is a reprint of the 2000 edi-tion. This book provides an overview of the theoryand application of linear and nonlinear mixed-effectsmodels in the analysis of grouped data, such as lon-gitudinal data, repeated measures, and multileveldata. A unified model-building strategy for both lin-ear and nonlinear models is presented and applied tothe analysis of over 20 real datasets from a wide vari-ety of areas, including pharmacokinetics, agriculture,and manufacturing. A strong emphasis is placed onthe use of graphical displays at the various phases ofthe model-building process, starting with exploratoryplots of the data and concluding with diagnostic plotsto[...]


Softcover2009. XVIII, 530p. (Statistics and Computing)▶ $99.00ISBN 978-1-4419-0317-4Usually dispatched within 3 to 5 business days.

C. Robert, Université Paris IX, Paris CX 16, France; G. Casella,University of Florida, Gainesville, USA

Introducing Monte Carlo Methodswith RComputational techniques based on simulation havenow become an essential part of the statistician's tool-box. It is thus crucial to provide statisticians with apractical understanding of those methods, and thereis no better way to develop intuition and skills forsimulation than to use simulation to solve statisticalproblems. Introducing Monte Carlo Methods withR covers the main tools used in statistical simulationfrom a programmer's point of view, explaining theR implementation of each simulation technique andproviding the output for better understanding andcomparison. While this book constitutes a compre-hensive treatment of simulation methods, the theoret-ical justification[...]


Softcover

2010. XX, 284p. (Use R!)▶ $64.95ISBN 978-1-4419-1575-7Usually dispatched within 3 to 5 business days.

P.R. Rosenbaum, University of Pennsylvania, Philadelphia,USA

Design of Observational StudiesAn observational study is an empiric investigationof effects caused by treatments when randomizedexperimentation is unethical or infeasible. Observa-tional studies are common in most fields that studythe effects of treatments on people, including medi-cine, economics, epidemiology, education, psychol-ogy, political science and sociology. The quality andstrength of evidence provided by an observationalstudy is determined largely by its design. Design ofObservational Studies is both an introduction tostatistical inference in observational studies and adetailed discussion of the principles that guide the







design of observational studies. Design of Observa-tional Studies is divided[...]


Hardcover2010. (Springer Series in Statistics)▶ $129.00ISBN 978-1-4419-1212-1Usually dispatched within 3 to 5 business days.

D. Ruppert, Cornell University, Ithaca, USA

Statistics and Data Analysis forFinancial EngineeringFinancial engineers have access to enormous quanti-ties of data but need powerful methods for extractingquantitative information, particularly about volatilityand risks. Key features of this textbook are: illustra-tion of concepts with financial markets and economicdata, R Labs with real-data exercises, and integrationof graphical and analytic methods for modeling anddiagnosing modeling errors. Despite some overlapwith the author's undergraduate textbook Statisticsand Finance: An Introduction, this book differs fromthat earlier volume in several important aspects: it isgraduate-level; computations and graphics are[...]


Hardcover

2011. XXII, 638 p. (Springer Texts in Statistics)▶ $99.00ISBN 978-1-4419-7786-1Usually dispatched within 3 to 5 business days.

D. Sarkar, Fred Hutchinson Cancer Research Center, Seattle,USA

LatticeMultivariate Data Visualization with R

R is rapidly growing in popularity as the environmentof choice for data analysis and graphics both in acade-mia and industry. Lattice brings the proven design of

Trellis graphics (originally developed for S by WilliamS. Cleveland and colleagues at Bell Labs) to R, consid-erably expanding its capabilities in the process. Latticeis a powerful and elegant high level data visualiza-tion system that is sufficient for most everyday graph-ics needs, yet flexible enough to be easily extended tohandle demands of cutting edge research. Written bythe author of the lattice system, this book describes itin considerable depth, beginning with the essentialsand systematically delving into specific[...]


Softcover2008. (Use R!)▶ $79.95ISBN 978-0-387-75968-5Usually dispatched within 3 to 5 business days.

B. Shahbaba, University of California, Irvine, Irvine, USA

Biostatistics with RAn Introduction to Statistics Through BiologicalData


Softcover2012. XVI, 352p. 162 illus., 73 illus. in color. (Use R!, Vol.)▶ $64.95ISBN 978-1-4614-1301-1Usually dispatched within 3 to 5 business days.

R.H. Shumway, University of California, Davis, USA; D.S. Stof-fer, University of Pittsburgh, Pittsburgh, USA

Time Series Analysis and ItsApplicationsWith R Examples

Time Series Analysis and Its Applications presents abalanced and comprehensive treatment of both timeand frequency domain methods with accompany-ing theory. Numerous examples using nontrivial dataillustrate solutions to problems such as discovering

natural and anthropogenic climate change, evaluatingpain perception experiments using functional mag-netic resonance imaging, and monitoring a nucleartest ban treaty. The book is designed to be useful as atext for graduate level students in the physical, biolog-ical and social sciences and as a graduate level text instatistics. Some parts may also serve as an undergrad-uate introductory course.[...]


Hardcover

2011. XI, 596 p. (Springer Texts in Statistics)▶ $99.00ISBN 978-1-4419-7864-6Usually dispatched within 3 to 5 business days.

K. Soetaert, Royal Netherlands Institute for, Yerseke, Nether-lands; J. Cash, Imperial College, London, United Kingdom; F.Mazzia, University of Bari, Bari, Italy

Solving Differential Equations in RMathematics plays an important role in many sci-entific and engineering disciplines. This book dealswith the numerical solution of differential equations,a very important branch of mathematics. Our aim isto give a practical and theoretical account of how tosolve a large variety of differential equations, com-prising ordinary differential equations, initial valueproblems and boundary value problems, differentialalgebraic equations, partial differential equations anddelay differential equations. The solution of differen-tial equations using R is the main focus of this book. Itis therefore intended for the practitioner, the studentand the scientist, who wants to know how to use R[...]


Softcover2012. XVI, 248 p. 63 illus., 13 illus. in color. (Use R!)▶ $59.95ISBN 978-3-642-28069-6Usually dispatched within 3 to 5 business days.








P. Spector, University of California, Berkeley, Berkeley, USA

Data Manipulation with RThis book presents a wide array of methods applica-ble for reading data into R, and efficiently manipulat-ing that data. In addition to the built-in functions, anumber of readily available packages from CRAN (theComprehensive R Archive Network) are also covered.All of the methods presented take advantage of thecore features of R: vectorization, efficient use of sub-scripting, and the proper use of the varied functionsin R that are provided for common data managementtasks. Most experienced R users discover that, espe-cially when working with large data sets, it may behelpful to use other programs, notably databases, inconjunction with R. Accordingly, the use of databasesin R is[...]


Softcover2008. (Use R!)▶ $79.95ISBN 978-0-387-74730-9Usually dispatched within 3 to 5 business days.

R.A. Stine, University of Pennsylvania, Philadelphia, USA;D.P. Foster, R.P. Waterman

Business Analysis UsingRegressionA Casebook


Softcover

1998. 348p. 183 illus..▶ $69.95ISBN 978-0-387-98356-1Usually dispatched within 3 to 5 business days.

4st Edition

W.N. Venables, B.D. Ripley, University of Oxford, Oxford,United Kingdom

Modern Applied Statistics with SS is a powerful environment for the statistical andgraphical analysis of data. It provides the tools toimplement many statistical ideas that have been madepossible by the widespread availability of worksta-tions having good graphics and computational capa-bilities. This book is a guide to using S environmentsto perform statistical analyses and provides both anintroduction to the use of S and a course in modernstatistical methods. Implementations of S are avail-able commercially in S-PLUS(R) workstations and asthe Open Source R for a wide range of computer sys-tems. The aim of this book is to show how to use S asa powerful and graphical data analysis system. Read-ers are[...]


Softcover2002. XI, 497 p. (Statistics and Computing)▶ $109.00ISBN 978-1-4419-3008-8Usually dispatched within 3 to 5 business days.

E. Vittinghoff, University of California, San Francisco, SanFrancisco, USA; D.V. Glidden, University of California, SanFrancisco, San Francisco, USA; S.C. Shiboski, University ofCalifornia, San Francisco, San Francisco, USA; C.E. McCulloch,University of California, San Francisco, San Francisco, USA

Regression Methods inBiostatisticsLinear, Logistic, Survival, and RepeatedMeasures Models

This new book provides a unified, in-depth, readableintroduction to the multipredictor regression meth-ods most widely used in biostatistics: linear modelsfor continuous outcomes, logistic models for binaryoutcomes, the Cox model for right-censored survivaltimes, repeated-measures models for longitudinal andhierarchical outcomes, and generalized linear modelsfor counts and other outcomes. Treating these topicstogether takes advantage of all they have in common.The authors point out the many-shared elements inthe methods they present for selecting, estimating,checking, and interpreting each of these models. Theyalso show that these regression methods deal withconfounding,[...]


Hardcover2012. XX, 509p. 65 illus.. (Statistics for Biology and Health)

▶ $99.00ISBN 978-1-4614-1352-3Usually dispatched within 3 to 5 business days.

L. Wasserman, Carnegie Mellon University, Pittsburgh, USA

All of StatisticsA Concise Course in Statistical Inference

WINNER OF THE 2005 DEGROOT PRIZE! Thisbook is for people who want to learn probability andstatistics quickly. It brings together many of the mainideas in modern statistics in one place. The book issuitable for students and researchers in statistics,computer science, data mining and machine learning.This book covers a much wider range of topics than atypical introductory text on mathematical statistics. Itincludes modern topics like nonparametric curve esti-mation, bootstrapping and classification, topics thatare usually relegated to follow-up courses. The readeris assumed to know calculus and a little linear algebra.No previous knowledge of probability and statisticsis[...]


Hardcover

2004. XIX, 442 p. (Springer Texts in Statistics)▶ $99.00ISBN 978-0-387-40272-7Usually dispatched within 3 to 5 business days.

H. Wickham

ggplot2Elegant Graphics for Data Analysis

This book describes ggplot2, a new data visualiza-tion package for R that uses the insights from LelandWilkison’s Grammar of Graphics to create a pow-erful and flexible system for creating data graphics.With ggplot2, it’s easy to: produce handsome, pub-lication-quality plots, with automatic legends cre-ated from the plot specification superpose multiplelayers (points, lines, maps, tiles, box plots to name afew) from different data sources, with automaticallyadjusted common scales add customisable smoothersthat use the powerful modelling capabilities of R, suchas loess, linear models, generalised additive modelsand robust regression save any ggplot2 plot (or partthereof) for[...]


Softcover2009. VIII, 213 p. (Use R!)▶ $69.95valid until May 13, 2015▶ $47.96








ISBN 978-0-387-98140-6Usually dispatched within 3 to 5 business days.

G. Williams, Togaware Pty Ltd, Jamison Centre, Australia

Data Mining with Rattle and RThe Art of Excavating Data for KnowledgeDiscovery

Data mining is the art and science of intelligent dataanalysis. By building knowledge from information,data mining adds considerable value to the everincreasing stores of electronic data that abound today.In performing data mining many decisions need tobe made regarding the choice of methodology, thechoice of data, the choice of tools, and the choice ofalgorithms.Throughout this book the reader is intro-duced to the basic concepts and some of the morepopular algorithms of data mining. With a focus onthe hands-on end-to-end process for data mining,Williams guides the reader through various capabil-ities of the easy to use, free, and open source RattleData Mining Software built[...]


Softcover2011. XX, 374p. 95 illus., 80 illus. in color. (Use R!)▶ $64.95ISBN 978-1-4419-9889-7Usually dispatched within 3 to 5 business days.

A. Zuur, Highland Statistics Ltd., Newburgh, United King-dom; E.N. Ieno, Highland Statistics Ltd., Newburgh, UnitedKingdom; E. Meesters, Institute for Marine Resources &, DenBurg, Netherlands

A Beginner's Guide to RBased on their extensive experience with teaching Rand statistics to applied scientists, the authors pro-vide a beginner's guide to R. To avoid the difficulty ofteaching R and statistics at the same time, statisticalmethods are kept to a minimum. The text covers howto download and install R, import and manage data,elementary plotting, an introduction to functions,

advanced plotting, and common beginner mistakes.This book contains everything you need to know toget started with R. “Its biggest advantage is that itaims only to teach R...It organizes R commands veryefficiently, with much teaching guidance included. Iwould describe this book as being handy--it’s the kindof book[...]


Softcover

2009. XVI, 220p. (Use R!)▶ $59.95ISBN 978-0-387-93836-3Usually dispatched within 3 to 5 business days.



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