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The original three-volume Advanced Theory of Statistics has long been regarded as the definitive work on statistical theory. The fifth edition of Volume I was published in 1987. Now, the fifth edition of Volume 2 is available. Considerably reshaped, this volume contains a great deal of new material and omits topics that will be treated in later volumes. Volumes 1 and 2 now present the essential topics that every statistician needs to know. These two core volumes will be supplemented in due course by a volume on Bayesian Inference and by a series of monographs on more specialized topics. Volume 2 covers the theory of estimation, testing hypotheses, regression, and comparative statistical inference. Part of the analysis of variance has been incorporated from Volume 3, which, with other chapters, provides a more complete treatment of the linear model than can be found anywhere else in the literature. This is a work that every statistician will find an invaluable source of insight and information.
This volume investigates the foundational principles of classical statistical inference and the mathematical relationships governing estimation and hypothesis testing. The authors, Alan Stuart, J. Keith Ord, and the late Sir Maurice Kendall, leverage their extensive expertise to provide a rigorous, comprehensive framework for statistical theory. By integrating advanced linear model analysis and comparative inference, the text establishes a structured approach to understanding the mechanics of statistical data interpretation.
What You Will Find
Experts and practitioners consistently cite this work as a foundational reference for advanced statistical theory. Readers frequently note the high level of mathematical density and the rigorous nature of the proofs presented throughout the text.
Page Count:
736
Publication Date:
1991-08-01
Publisher:
Oxford University Press
ISBN-10:
0195209095
ISBN-13:
9780195209099
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