株式会社極東書店トップ ＞ 商品一覧 ＞ Probability, Statistics, and Stochastic Processes. 2nd ed.
商品詳細
Probability, Statistics, and Stochastic Processes. 2nd ed. 確率、統計学、確率過程 第2版
・ISBN 978-0-470-88974-9 hard US$ 150.95
￥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。
電子版あり 大学・学術機関向け電子ブック（eBook）ISBN 978-1-118-23129-6
| 著者・編者 | Olofsson, Peter / Andersson, M., |
|---|---|
| 出版社 | (Wiley, US) |
| 出版年月 | 2012 |
| ページ数 | 576 pp. |
| 言語 | ENG |
| ニュース番号 | ＜595-263＞ |
解説
Praise for the First Edition
". . . an excellent textbook . . . well organized and neatly written."
-Mathematical Reviews
". . . amazingly interesting . . ."
-Technometrics
Thoroughly updated to showcase the interrelationships between probability, statistics, and stochastic processes, Probability, Statistics, and Stochastic Processes, Second Edition prepares readers to collect, analyze, and characterize data in their chosen fields.
Beginning with three chapters that develop probability theory and introduce the axioms of probability, random variables, and joint distributions, the book goes on to present limit theorems and simulation. The authors combine a rigorous, calculus-based development of theory with an intuitive approach that appeals to readers' sense of reason and logic. Including more than 400 examples that help illustrate concepts and theory, the Second Edition features new material on statistical inference and a wealth of newly added topics, including:
-
Consistency of point estimators
-
Large sample theory
-
Bootstrap simulation
-
Multiple hypothesis testing
-
Fisher's exact test and Kolmogorov-Smirnov test
-
Martingales, renewal processes, and Brownian motion
-
One-way analysis of variance and the general linear model
Extensively class-tested to ensure an accessible presentation, Probability, Statistics, and Stochastic Processes, Second Edition is an excellent book for courses on probability and statistics at the upper-undergraduate level. The book is also an ideal resource for scientists and engineers in the fields of statistics, mathematics, industrial management, and engineering.