Mendeley出力
＜図書＞
Applied regression analysis : a research tool
| 責任表示 | John O. Rawlings, Sastry G. Pantula, David A. Dickey |
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| シリーズ | Springer texts in statistics |
| データ種別 | 図書 |
| 版 | 2nd ed. |
| 出版情報 | New York : Springer , c1998 |
| 本文言語 | 英語 |
| 大きさ | xviii, 657 p. : ill. ; 25 cm |
| 概要 | Least squares estimation, when used appropriately, is a powerful research tool. A deeper understanding of the regression concepts is essential for achieving optimal benefits from a least squares analy...is. This book builds on the fundamentals of statistical methods and provides appropriate concepts that will allow a scientist to use least squares as an effective research tool.This book is aimed at the scientist who wishes to gain a working knowledge of regression analysis. The basic purpose of this book is to develop an understanding of least squares and related statistical methods without becoming excessively mathematical. It is the outgrowth of more than 30 years of consulting experience with scientists and many years of teaching an appied regression course to graduate students. This book seves as an excellent text for a service course on regression for non-statisticians and as a reference for researchers. It also provides a bridge between a two-semester introduction to statistical methods and a thoeretical linear models course.This book emphasizes the concepts and the analysis of data sets. It provides a review of the key concepts in simple linear regression, matrix operations, and multiple regression. Methods and criteria for selecting regression variables and geometric interpretations are discussed. Polynomial, trigonometric, analysis of variance, nonlinear, time series, logistic, random effects, and mixed effects models are also discussed. Detailed case studies and exercises based on real data sets are used to reinforce the concepts.John O. Rawlings, Professor Emeritus in the Department of Statistics at North Carolina State University, retired after 34 years of teaching, consulting, and research in statistical methods. He was instrumental in developing, and for many years taught, the course on which this text is based. He is a Fellow of the American Statistical Association and the Crop Science Society of America.Sastry G. Pantula is Professor and Directory of Graduate Programs in the Department of Statistics at North Carolina State University. He is a member of the Academy of Outstanding Teachers at North Carolina State University.David A. Dickey is Professor of Statistics at North Carolina State University. He is a member of the Academy of Outstanding Teachers at North Carolina State University. 続きを見る |
| 電子版へのリンク | https://hdl.handle.net/2324/6973112 |
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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:hardcover : alk. paper | 理系図3F 数理独自 | RAWL/10/1 | c1998 |
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023211998006907 |
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書誌詳細
| 一般注記 | Bibliography : p. [635]-646 Includes indexes |
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| 著者標目 | *Rawlings, John O., 1932- Pantula, Sastry G. Dickey, David A. |
| 件 名 | LCSH:Regression analysis |
| 分 類 | LCC:QA278.2 DC21:519.5/36 NDC9:417 |
| 書誌ID | 1001392171 |
| ISBN | 0387984542 |
| NCID | BA38607717 |
| 巻冊次 | :hardcover : alk. paper ; ISBN:0387984542 |
| 登録日 | 2009.11.02 |
| 更新日 | 2017.02.18 |