Sets 24 and 25 Concepts Review Mar 26

From Computational Statistics (CSE383M and CS395T)
Jump to navigation Jump to search

Segments 24 and 25 are particularly rich in concepts.

Here's my list:

<math>N^{-1/2}</math> metatheorem
goodness of fit test
<math>\chi^2</math> statistic for goodness of fit
Chi-Square distribution
degrees of freedom
linear constraints on measured values
reduced degrees of freedom
nonlinear constraints from MLE parameters
implicit function theorem
<math>\Delta\chi^2</math> for confidence intervals
<math>\Delta\chi^2</math> for goodness of fit

multinomial distribution
Poisson distribution
Poisson as approximation to multinomial
Pearson <math>\chi^2</math> statistic
modified Neyman <math>\chi^2</math> statistic
pseudocounts
power-law prior
mean-square error (mse)
chi-by-eye