The Advanced Theory of Statistics, Volume 2

a₁ analysis of variance approximation b₁ best critical region Biom chapter classes coefficients confidence intervals consider constant correlation correlogram covariance critical region degrees of freedom determine deviation E. S. Pearson equal equation Example ǝ log FISHER frequency function generalisation given gives hence hypothesis independent interaction k₁ large samples likelihood function linear log f Math maximum likelihood estimator mean method moving average n₁ n₂ Neyman normal distribution normal population observed orthogonal orthogonal polynomials P₁ parameter parent PEARSON periodogram polynomials probability problem Proc quotient random ratio regression residual result statistical Stats sufficient estimator sum of squares Suppose t₁ t₂ Table test of significance theorem theory Type U.M.P. test u₁ unbiassed estimator v₁ values variables variates x₁ z-test zero