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Kendall's Advanced Theory of Statistics, Classical Inference and the Linear Model (Volume 2A)By Alan Stuart, Keith Ord, Steven Arnold
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The development of statistical theory in the past fifty years is faithfully reflected in the history of the late Sir Maurice Kendall’s volumes The Advanced Theory of Statistics. The Advanced Theory began life as a two volume work (Volume 1, 1943; Volume 2, 1946) and grew steadily, as a single authored work until the late fifties. At that point Alan Stuart became involved and the Advanced Theory was rewritten in three volumes. When Keith Ord joined in the early eighties, Volume 3 became the largest and plans were developed to expand it into a series of monographs called the Kendall's Library of Statistics which would devote a book to each of the modern developments in statistics. This series is well on the way with 5 titles in print and a further 7 on the way. A new volume on Bayesian Inference was also commissioned from Tony O'Hagan and published in 1994 as Volume 2B of the Advanced Theory. This Volume 2A is therefore the completely updated Volume 2 - Classical Inference and Relationship. A new author, Steven Arnold, was invited to join Keith Ord and they have between them produced a work of the highest quality. References have been updated and material revised throughout. A new chapter on the linear model and least squares estimation has been added.
- Sales Rank: #2484878 in Books
- Published on: 2010-02-22
- Original language: English
- Number of items: 1
- Dimensions: 9.76" h x 1.71" w x 7.11" l, .0 pounds
- Binding: Hardcover
- 912 pages
Review
From reviews of previous editions of The Advanced Theory of Statistics volumes: "The general authority of the work, together with its lasting value as a reference source, make it the Bible which no statistician should be without." --The Statistician
" As a comprehensive reference . . . it is unsurpassed." --International Statistics Review
"A book of outstanding importance which surveys and integrates an immense field of knowledge." --Journal of the Royal Statistical Society
"The most comprehensive reference work available. This volume is a rich sourcebook for material on the classical theory of statistical inference based on the frequentist paradigm." --Mathematical Reviews
"A monumental work." --Library Journal
From the Publisher
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.
From the Back Cover
The development of statistical theory in the past fifty years is faithfully reflected in the history of the late Sir Maurice Kendall’s volumes The Advanced Theory of Statistics. The Advanced Theory began life as a two volume work (Volume 1, 1943; Volume 2, 1946) and grew steadily, as a single authored work until the late fifties. At that point Alan Stuart became involved and the Advanced Theory was rewritten in three volumes. When Keith Ord joined in the early eighties, Volume 3 became the largest and plans were developed to expand it into a series of monographs called the Kendall's Library of Statistics which would devote a book to each of the modern developments in statistics. This series is well on the way with 5 titles in print and a further 7 on the way. A new volume on Bayesian Inference was also commissioned from Tony O’Hagan and published in 1994 as Volume 2B of the Advanced Theory. This Volume 2A is therefore the completely updated Volume 2 - Classical Inference and Relationship. A new author, Steven Arnold, was invited to join Keith Ord and they have between them produced a work of the highest quality. References have been updated and material revised throughout. A new chapter on the linear model and least squares estimation has been added.
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