Maurice George Kendall Knihy

This new edition responds to the developments and advances that have taken place in this area over the last few years, and offers the reader a comprehensive, up-to-date overview of Bayesian statistics. Every chapter has been thoroughly revised and updated, as have the exercises at the end ofeach chapter. Clearly written and offering a wide-ranging introduction to Bayesian statistics, this book will be an essential reference for students, researchers and practitioners in statistics.

Estimation; Estimation: maximum likelihood; Estimation: least squares and other methods; Interval estimation: confidence intervals; Interval estimation: other methods; Tests of hypotheses: simple hypotheses; Tests of hypotheses: composite hypotheses; Likelihood ratio tests and the general linear hypothesis; The comparison of tests; Statistical relationship: linear regression and correlation; Partial and multiple correlation and regression; The general theory of regression; Functional and structural relationship; Tests of fit; Robust and distribution-free procedures; Some uses of order-statistics; Categorized data; Sequential methods.

A comprehensive reference for modern statistical distributions and related sample theory. Substantially revised, this edition contains an extensive discussion of the bivariate and multivariate versions of the standard distributions and families. Includes new material on skewness and kurtosis, hazard rate distributions, the bootstrap, evaluation of multivariate normal integral and ratios of quadratic forms. Features over 200 additional references, 40 new exercises plus 20 further examples.

This new edition of the classic statistical book Classical Inference and Relationship completes the current three-volume set of Kendall's Advanced Theory of Statistics. It has been fully revised and expanded to over 800 pages, representing the state of the art in classical statistical inference.