Multivariate Probability

John H. McColl

Published by Hodder Education
ISBN 10: 0470689269 / ISBN 13: 9780470689264
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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, Department of Statistics, University of Glasgow, UK

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Bibliographic Details

Title: Multivariate Probability
Publisher: Hodder Education
Binding: PaperBack
Book Condition: Brand New
Edition: International Edition.

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Book Description John Wiley and Sons Ltd. Paperback. Book Condition: new. BRAND NEW, Multivariate Probability, John McColl, 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. Bookseller Inventory # B9780470689264

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Book Description John Wiley and Sons Ltd, United Kingdom, 2004. Paperback. Book Condition: New. 2nd ed.. Language: English . Brand New Book. 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. Bookseller Inventory # AAH9780470689264

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Book Description John Wiley and Sons Ltd, United Kingdom, 2004. Paperback. Book Condition: New. 2nd ed.. Language: English . Brand New Book. 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. Bookseller Inventory # AAH9780470689264

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