Introduction to Probability and Statistics from a Bayesian Viewpoint, Part 2, Inference (Volume 0)

Lindley, D. V.

ISBN 10: 0521298660 / ISBN 13: 9780521298667

Published by Cambridge University Press, 1980

About this Item

Description:
Part Two of D. V. Lindley?s influential introduction to Bayesian probability and statistics, devoted to statistical inference. Topics include estimation, hypothesis testing, statistical decision-making, experimental data, least-squares methods, maximum likelihood, and the Bayesian treatment of inference. More than 300 exercises are included.

Originally published in hardcover in 1965; this is the 1980 Cambridge University Press paperback reprint. 308 pages. Part Two: Inference only; Part One is not included.

Detailed Condition:
Good softcover condition. Turquoise covers show rubbing, scratching, light soiling, and general shelf wear. Corners and edges are rubbed and lightly bumped, with a small surface abrasion near the upper portion of the front cover. Spine remains intact, and the lettering is clear. Page edges are toned and lightly soiled. Remainder mark present on the page edges. Interior pages show age toning but appear clean in the photographs. Binding remains sound. Part Two only.

Shipping / Returns:
Carefully packed and shipped with tracking. Thirty-day returns accepted in accordance with AbeBooks policies.
SCI 5a.

Seller Inventory # ABE-1788971180708

Bibliographic Details

• Title: Introduction to Probability and Statistics from a Bayesian Viewpoint, Part 2, Inference (Volume 0)
• Publisher: Cambridge University Press
• Publication Date: 1980
• Language: English
• ISBN 10: 0521298660
• ISBN 13: 9780521298667
• Binding: Soft cover
• Edition: 1st Edition
• Condition: Good
• Dimensions: 5.5W x 8.5H x 0.77D inches 5.5 inches width by 8.5 inches height by 0.77 inches depth
• Weight: 0.97 pounds
• Seller catalogs:
  • Mathmatics
  • Probability

About this title

Synopsis

The two parts of this book treat probability and statistics as mathematical disciplines and with the same degree of rigour as is adopted for other branches of applied mathematics at the level of a British honours degree. They contain the minimum information about these subjects that any honours graduate in mathematics ought to know. They are written primarily for general mathematicians, rather than for statistical specialists or for natural scientists who need to use statistics in their work. No previous knowledge of probability or statistics is assumed, though familiarity with calculus and linear algebra is required. The first volume takes the theory of probability sufficiently far to be able to discuss the simpler random processes, for example, queueing theory and random walks. The second volume deals with statistics, the theory of making valid inferences from experimental data, and includes an account of the methods of least squares and maximum likelihood; it uses the results of the first volume.

Book Description

The two parts of this book treat probability and statistics as mathematical disciplines and with the same degree of rigour as is adopted for other branches of applied mathematics at the level of a British honours degree. They contain the minimum information about these subjects that any honours graduate in mathematics ought to know.