Information Theory and Statistics

absolutely continuous analysis in table analysis of variance asymptotically distributed B₁ canonical correlation chapter 9 coefficients Component due component in table computational conditional homogeneity conjugate distribution contingency table convex convex function corollary 3.1 correlation covariance matrix Cramér defined degrees of freedom discrimination efficiency distributed as x² divergence equality example fi(x given H₁ H₂(R independent observations Information D.F. information theory Ĵ(H₁ k₁ k₂ lemma linear discriminant function log f(x m₁ m₂ M₂(T minimum discrimination information multinomial multinomial distribution N₁ N₂ noncentral normal distribution notation Note null hypothesis H₂ P(H₁ P₁ partitioning Pijk Poisson distribution Poisson population Prob probability measure problem regression sample Show specified sufficient statistic Suppose theorem 2.1 Total unbiased estimates variates x₁ x²-distributions y₁ μ₁ Σ Σ σ² Σα ΣΣ Στ