Mendeley出力
＜図書＞
Probability and information : an integrated approach
| 責任表示 | David Applebaum |
|---|---|
| データ種別 | 図書 |
| 版 | 2nd ed |
| 出版情報 | Cambridge : Cambridge University Press , 2008 |
| 本文言語 | 英語 |
| 大きさ | xvi, 273 p. : ill. ; 26 cm |
| 概要 | An updated new edition of the popular elementary introduction to probability theory and information theory, now containing additional material on Markov chains and their entropy. Suitable as a textboo... for beginning students in mathematics, statistics, computer science or economics, the only prerequisite is some knowledge of basic calculus. A clear and systematic foundation to the subject is provided; the concept of probability is given particular attention via a simplified discussion of measures on Boolean algebras. The theoretical ideas are then applied to practical areas such as statistical inference, random walks, statistical mechanics and communications modelling. Topics discussed include discrete and continuous random variables, entropy and mutual information, maximum entropy methods, the central limit theorem and the coding and transmission of information. Many examples and exercises illustrate how the theory can be applied, for example, to information technology. Detailed solutions to most exercises are available on the web. Book jacket. An updated new edition of the popular elementary introduction to probability theory and information theory, now containing additional material on Markov chains and their entropy. Suitable as a textbook for beginning students in mathematics, statistics, computer science or economics, the only prerequisite is some knowledge of basic calculus. A clear and systematic foundation to the subject is provided; the concept of probability is given particular attention via a simplified discussion of measures on Boolean algebras. The theoretical ideas are then applied to practical areas such as statistical inference, random walks, statistical mechanics and communications modelling. Topics discussed include discrete and continuous random variables, entropy and mutual information, maximum entropy methods, the central limit theorem and the coding and transmission of information. Many examples and exercises illustrate how the theory can be applied, for example, to information technology. Detailed solutions to most exercises are available on the web. Book jacket.続きを見る |
所蔵情報
| 状態 | 巻次 | 所蔵場所 | 請求記号 | 刷年 | 文庫名称 | 資料番号 | コメント | 予約・取寄 | 複写申込 | 自動書庫 |
|---|---|---|---|---|---|---|---|---|---|---|
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: pbk | 理系図1F 開架 | 417.1/A 59 | 2008 |
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031212009000896 | Global 30 |
書誌詳細
| 著者標目 | *Applebaum, David, 1956- |
|---|---|
| 件 名 | LCSH:Probabilities LCSH:Information theory |
| 分 類 | NDC9:417.1 LCC:QA273.A66 DC20:519.2 |
| 書誌ID | 1001409267 |
| ISBN | 9780521899048 |
| NCID | BA86591979 |
| 巻冊次 | : hbk. ; ISBN:9780521899048 : pbk ; ISBN:9780521727884 |
| 登録日 | 2009.12.24 |
| 更新日 | 2009.12.24 |