Introduction to Probability and Statistics from a Bayesian Viewpoint, Part 2, Inference

Lindley, D. V.

ISBN 10: 0521055636 / ISBN 13: 9780521055635

Published by Cambridge University Press, 1965

About this Item

306 Seiten Altersfreigabe FSK ab 0 Jahre Sprache: Englisch Gewicht in Gramm: 550.

Seller Inventory # 365239

Bibliographic Details

• Title: Introduction to Probability and Statistics from a Bayesian Viewpoint, Part 2, Inference
• Publisher: Cambridge University Press
• Publication Date: 1965
• Language: English
• ISBN 10: 0521055636
• ISBN 13: 9780521055635
• Binding: Gebundene Ausgabe
• Edition: Auflage: 1st.
• Condition: Gut
• Seller catalogs:
  • Alle Bücher

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.