<図書>
Bayesian models for categorical data
| 責任表示 | Peter Congdon |
|---|---|
| シリーズ | Wiley series in probability and mathematical statistics |
| データ種別 | 図書 |
| 出版情報 | Chichester : J. Wiley , c2005 |
| 本文言語 | 英語 |
| 大きさ | ix, 425 p. : ill., map ; 26 cm |
| 概要 | Using Bayesian methods to analyze data has become common in applied statistics, social sciences, and medicine, along with other disciplines requiring close work with a diverse set of data. In this und...rgraduate text, Congdon (Queen Mary College, U. of London) takes a practical and accessible approach, focusing on statistical computing and applied data as he covers the principles of Bayesian inference, model comparison and choice, regression for metric outcomes, models for binary and count outcomes, random effect and latent variable models for multi-category outcomes, ordinal regression, discrete spatial data, time series models for discrete variables, hierarchical and panel data models and missing-data models. Annotation ©2005 Book News, Inc., Portland, OR (booknews.com) 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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理系図3F 数理独自 | CONG/10/2 | 2005 |
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023212005002720 |
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書誌詳細
| 一般注記 | Includes bibliographies and index |
|---|---|
| 著者標目 | *Congdon, P. |
| 件 名 | LCSH:Bayesian statistical decision theory LCSH:Monte Carlo method LCSH:Markov processes LCSH:Multivariate analysis |
| 分 類 | LCC:QA279.5 DC22:519.5/42 |
| 書誌ID | 1001224262 |
| ISBN | 0470092378 |
| NCID | BA72217180 |
| 巻冊次 | ISBN:0470092378 ; XISBN:9780470092378 |
| 登録日 | 2009.09.18 |
| 更新日 | 2017.10.03 |
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