株式会社極東書店トップ ＞ 商品一覧 ＞ Introduction to Probability: Multivariate Models and Applications.
商品詳細
Introduction to Probability: Multivariate Models and Applications.
・ISBN 978-1-118-12333-1 hard US$ 150.95
[在庫] ￥35,367.- (税込) ※（※）価格はご注文時の参考価格となります。
納品価格につきましては書籍の入荷時点で確定となります。
版元の原価改定、外国為替の変動等により異なる場合がございますので、予めご了承下さい。
| 著者・編者 | Balakrishnan, Narayanaswamy / Koutras, Markos V. et al., |
|---|---|
| シリーズ | Wiley Series in Probability and Statistics |
| 出版社 | (Wiley, US) |
| 出版年月 | 2022.03 |
| ページ数 | 544 pp. |
| 言語 | ENG |
| ニュース番号 | ＜666-471＞ |
解説
Discover practical models and real-world applications of multivariate models useful in engineering, business, and related disciplines
In Introduction to Probability: Multivariate Models and Applications, a team of distinguished researchers delivers a comprehensive exploration of the concepts, methods, and results in multivariate distributions and models. Intended for use in a second course in probability, the material is largely self-contained, with some knowledge of basic probability theory and univariate distributions as the only prerequisite.
This textbook is intended as the sequel to Introduction to Probability: Models and Applications. Each chapter begins with a brief historical account of some of the pioneers in probability who made significant contributions to the field. It goes on to describe and explain a critical concept or method in multivariate models and closes with two collections of exercises designed to test basic and advanced understanding of the theory.
A wide range of topics are covered, including joint distributions for two or more random variables, independence of two or more variables, transformations of variables, covariance and correlation, a presentation of the most important multivariate distributions, generating functions and limit theorems. This important text:
- Includes classroom-tested problems and solutions to probability exercises
- Highlights real-world exercises designed to make clear the concepts presented
- Uses Mathematica software to illustrate the text's computer exercises
- Features applications representing worldwide situations and processes
- Offers two types of self-assessment exercises at the end of each chapter, so that students may review the material in that chapter and monitor their progress
Perfect for students majoring in statistics, engineering, business, psychology, operations research and mathematics taking a second course in probability, Introduction to Probability: Multivariate Models and Applications is also an indispensable resource for anyone who is required to use multivariate distributions to model the uncertainty associated with random phenomena.