Multivariate Probability

Multivariate Probability
Auteur: John McColl
Uitgever: John Wiley & Sons
  • Engels
  • Paperback
  • 9780470689264
  • Druk: 2
  • juli 2004
  • 316 pagina's
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Samenvatting

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.

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Taal
Engels
Bindwijze
Paperback
Druk
2
Verschijningsdatum
2004-07-01
Aantal pagina's
316 pagina's
Illustraties
Nee

Betrokkenen

Auteur
John McColl
Uitgever
John Wiley & Sons

EAN

EAN
9780470689264

Overige kenmerken

Extra groot lettertype
Nee
Oorspronkelijke releasedatum
2004-07-30
Thema Subject Code
PB

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