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Kendall's Advanced Theory of Statistics, Classical Inference and the Linear Model (Kendall's Library of Statistics) (Volume 2A) Classical Inference and the Linear Model

Stuart, Alan; Ord, Keith; Arnold, Steven

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ISBN 10: 0340662301 / ISBN 13: 9780340662304
Published by Arnold and Company, 1999
Used Condition: Very Good Hardcover
From William H. Allen Bookseller (Reinholds, PA, U.S.A.)

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Quantity Available: 1

About this Item

Vol. 2A only. 885 pages. Size: Tall 8vo. Bookseller Inventory # 46748

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Bibliographic Details

Title: Kendall's Advanced Theory of Statistics, ...

Publisher: Arnold and Company

Publication Date: 1999

Binding: Hard Cover

Book Condition:Very Good

Dust Jacket Condition: Good

About this title

Synopsis:

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.

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.

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