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A test (typically of distribution, independence, or goodness of fit), for the family of distributions use [chi-squared-distribution].

1 vote

Chi square statistic and contingency coefficients

About the contingency coefficient, I want to take the opportunity to leave a remark. Consider the "theoretical chi-square statistic" $$ v= \sum_{i,j}\frac{(p_{i,j}-p_ip_j)^2}{p_ip_j} $$ and the theo …
Stéphane Laurent's user avatar
33 votes
Accepted

Why is a likelihood-ratio test distributed chi-squared?

As mentioned by @Nick this is a consequence of Wilks' theorem. But note that the test statistic is asymptotically $\chi^2$-distributed, not $\chi^2$-distributed. I am very impressed by this theorem b …
Stéphane Laurent's user avatar
7 votes
Accepted

Expectation of inverse non central chi-squared

I can give the expectation but I don't know for the monotonicity. Let $C \sim \chi^2(d,\theta)$ (where $d$ degrees of freedom, and $\theta$ non-centrality parameter). If $d > 2$, then $$ \mathbb{E} …
Stéphane Laurent's user avatar
12 votes
Accepted

What distribution does Fisher's exact test assume?

In the $2\times 2$ case the distributional assumption is given by two independent binomial random variables $X_1 \sim Bin(n_1, \theta_1)$ and $X_2 \sim Bin(n_2, \theta_2)$. The null hypothesis is the …
Stéphane Laurent's user avatar