lectures 10: maximum likelihood iii. (nonlinear least ... · bfit = 1.1235 3.2654 .4832 suppose...
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Lectures 10: Maximum likelihood III.(nonlinear least square fits)
𝜒2 fitting procedure!
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increasing temperature x in some arbitrary units
measured value of 2p-0.4 as a function of x
x
from Lecture 9:
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Maximum Likelihood discussionfrom Lecture 9:
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increasing temperature x in some arbitrary units
from Lecture 9: Maximum Likelihood discussion
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𝜒2 distribution
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𝚪 function 1-pager
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𝜒2 distribution
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characteristic function by Fourier transformation:
(1-2i*t)-𝜈/2
𝜒2 distribution
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Maximum Likelihood parameter errors?𝜒2 distribution
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Maximum Likelihood parameter errors?𝜒2 distribution
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Maximum Likelihood parameter errors?𝜒2 distribution
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Maximum Likelihood parameter errors?𝜒2 distribution
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Maximum Likelihood marginalized parameters𝜒2 distribution
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Maximum Likelihood marginalized parameters𝜒2 distribution
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generic idea of covariance matrix
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generic idea of covariance matrix
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correlated data - first glimpse
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correlated data - first glimpse
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