Multivariate Probability (Paperback)

John McColl

ISBN 10: 0470689269 / ISBN 13: 9780470689264

Published by John Wiley & Sons Inc, New York, 2004

About this Item

Paperback. This book is a comprehensive guide to multivariate probability for students who have an elementary knowledge of probability and are ready to move on to more advanced concepts Topics covered include:A review of basic probability theory, including core ideas about random variablesBivariate distributions and the general theory of random vectorsRelationships between random variablesNormal linear model and multivariate sampling distributionsGenerating functions and convergence. Each section is illustrated with numerous examples. Multivariate probability deliberately avoids a measure-theoretic approach in order to make these complex concepts easily accessible to a broad readership. Attention is restricted to discrete and (absolutely) continuous random variables. Although proofs are given of all the main results, this book is primarily intended to provide readers with the tools they require to build appropriate probability models for real-life situations. The usefulness of simulation in this respect is emphasized throughout the book. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Seller Inventory # 9780470689264

Bibliographic Details

• Title: Multivariate Probability (Paperback)
• Publisher: John Wiley & Sons Inc, New York
• Publication Date: 2004
• Language: English
• ISBN 10: 0470689269
• ISBN 13: 9780470689264
• Binding: Paperback
• Condition: new

About this title

Synopsis

This book is a comprehensive guide to multivariate probability for students who have an elementary knowledge of probability and are ready to move on to more advanced concepts

• Topics covered include:
• A review of basic probability theory, including core ideas about random variables
• Bivariate distributions and the general theory of random vectors
• Relationships between random variables
• Normal linear model and multivariate sampling distributions
• Generating functions and convergence.

Each section is illustrated with numerous examples. Multivariate probability deliberately avoids a measure-theoretic approach in order to make these complex concepts easily accessible to a broad readership. Attention is restricted to discrete and (absolutely) continuous random variables. Although proofs are given of all the main results, this book is primarily intended to provide readers with the tools they require to build appropriate probability models for real-life situations. The usefulness of simulation in this respect is emphasized throughout the book.

About the Author

John McColl is the author of Multivariate Probability, published by Wiley.