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Chapter Page 17 Estimation
Least Squares and other Methods
18 other sections not shown
alternative approximation asymptotic variance asymptotically normally binomial Biometrika bivariate normal censoring Chapter confidence intervals confidence limits consider consistent constant correlation coefficient corresponding critical region defined degrees of freedom derived deviation discussed dispersion matrix distribution-free E. S. Pearson efficiency equal equation equivalent error Example Exercise F-distribution fixed given gives H0 holds hypothesis independent large samples Likelihood Likelihood Function linear function linear regression LR test Math mean and variance method minimal ML estimator multinomial multinomial distribution non-central normal distribution normal population observations obtained order-statistics orthogonal parameters permutation Poisson distribution power function probability problem random variables range rank ratio regression result sample mean sequential simple single sufficient statistic standard Student's sufficient statistic sum of squares Suppose symmetric test based test statistic theorem theory tion UMPU tests unbiassed estimator variate vector write zero