9780195209099-0195209095-Kendall's Advanced Theory of Statistics, Vol. 2: Classical Inference and Relationship, 5th Edition

Kendall's Advanced Theory of Statistics, Vol. 2: Classical Inference and Relationship, 5th Edition

ISBN-13: 9780195209099
ISBN-10: 0195209095
Edition: 5
Author: J. Keith Ord, Alan Stuart, the late Sir Maurice Kendall
Publication date: 1991
Publisher: Oxford University Press
Format: Hardcover 736 pages
FREE US shipping

Book details

ISBN-13: 9780195209099
ISBN-10: 0195209095
Edition: 5
Author: J. Keith Ord, Alan Stuart, the late Sir Maurice Kendall
Publication date: 1991
Publisher: Oxford University Press
Format: Hardcover 736 pages

Summary

Kendall's Advanced Theory of Statistics, Vol. 2: Classical Inference and Relationship, 5th Edition (ISBN-13: 9780195209099 and ISBN-10: 0195209095), written by authors J. Keith Ord, Alan Stuart, the late Sir Maurice Kendall, was published by Oxford University Press in 1991. With an overall rating of 3.6 stars, it's a notable title among other Applied (Mathematics) books. You can easily purchase or rent Kendall's Advanced Theory of Statistics, Vol. 2: Classical Inference and Relationship, 5th Edition (Hardcover) from BooksRun, along with many other new and used Applied books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.3.

Description

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.

Rate this book Rate this book

We would LOVE it if you could help us and other readers by reviewing the book