この商品をお持ちですか? マーケットプレイスに出品する
裏表紙を表示 表紙を表示
サンプルを聴く 再生中... 一時停止   Audible オーディオエディションのサンプルをお聴きいただいています。

著者をフォローする

何か問題が発生しました。後で再度リクエストしてください。


Data Analysis Using Regression and Multilevel/Hierarchical Models (Analytical Methods for Social Research) (英語) ハードカバー – 2006/12/25

5つ星のうち4.3 71個の評価

その他 の形式およびエディションを表示する 他の形式およびエディションを非表示にする
価格
新品 中古品
Kindle版 (電子書籍)
ハードカバー
¥16,576 ¥6,800
click to open popover

キャンペーンおよび追加情報

商品の説明

レビュー

'Data Analysis Using Regression and Multilevel/Hierarchical Models' … careful yet mathematically accessible style is generously illustrated with examples and graphical displays, making it ideal for either classroom use or self-study. It appears destined to adorn the shelves of a great many applied statisticians and social scientists for years to come.' Brad Carlin, University of Minnesota

'Gelman and Hill have written what may be the first truly modern book on modeling. Containing practical as well as methodological insights into both Bayesian and traditional approaches, Data Analysis Using Regression and Multilevel/Hierarchical Models provides useful guidance into the process of building and evaluating models. For the social scientist and other applied statisticians interested in linear and logistic regression, causal inference, and hierarchical models, it should prove invaluable either as a classroom text or as an addition to the research bookshelf.' Richard De Veaux, Williams College

'The theme of Gelman and Hill's engaging and nontechnical introduction to statistical modeling is 'Be flexible'. Using a broad array of examples written in R and WinBugs, the authors illustrate the many ways in which readers can build more flexibility into their predictive and causal models. This hands-on textbook is sure to become a popular choice in applied regression courses.' Donald Green, Yale University

'Simply put, Data Analysis Using Regression and Multilevel/Hierarchical Models is the best place to learn how to do serious empirical research. Gelman and Hill have written a much needed book that is sophisticated about research design without being technical. Data Analysis Using Regression and Multilevel/Hierarchical Models is destined to be a classic!' Alex Tabarrok, George Mason University

'… a detailed, carefully written exposition of the modelling challenge, using numerous convincing examples, and always paying careful attention to the practical aspects of modelling. I recommend it very warmly.' Journal of Applied Statistics

'Data Analysis Using Regression and Multilevel/Hierarchical Models is the book I wish I had in graduate school. … The text is an obvious candidate for use in courses or course modules on multilevel modeling, especially in Part 2. Beyond that, where should it be used? Instructors of first-year graduate methods courses should consider complementing their texts with material from Part 1. Many use Kennedy's A Guide to Econometrics (2003) to provide an alternative take in the essentials. Data Analysis is better suited for taking on this role. Students will find its coverage less redundant of what they get from standard texts, and the use of non-economics based examples should also help sell quantitative research to skeptical incomers into the profession.' The Political Methodologist

著者について

Andrew Gelman is Professor of Statistics and Professor of Political Science at Columbia University. He has published over 150 articles in statistical theory, methods, and computation, and in applications areas including decision analysis, survey sampling, political science, public health, and policy. His other books are Bayesian Data Analysis (1995, second edition 2003) and Teaching Statistics: A Bag of Tricks (2002).

Jennifer Hill is Assistant Professor of Public Affairs in the Department of International and Public Affairs at Columbia University. She has co-authored articles that have appeared in the Journal of the American Statistical Association, American Political Science Review, American Journal of Public Health, Developmental Psychology, the Economic Journal and the Journal of Policy Analysis and Management, among others.

登録情報

  • 発売日 : 2006/12/25
  • ハードカバー : 648ページ
  • ISBN-13 : 978-0521867061
  • ISBN-10 : 0521867061
  • 寸法 : 18.29 x 4.09 x 25.91 cm
  • 出版社 : Cambridge University Press; 1番め版 (2006/12/25)
  • 言語: : 英語
  • カスタマーレビュー:
    5つ星のうち4.3 71個の評価

カスタマーレビュー

5つ星のうち4.3
星5つ中の4.3
71 件のグローバル評価
評価はどのように計算されますか?

この商品をレビュー

他のお客様にも意見を伝えましょう

上位レビュー、対象国: 日本

日本からの0件のレビューとお客様による0件の評価があります

他の国からのトップレビュー

Amazon Customer
5つ星のうち5.0 Another classic from Gelman
2007年12月30日に英国でレビュー済み
Amazonで購入
5人のお客様がこれが役に立ったと考えています
違反を報告
Alberto G B
5つ星のうち4.0 Good to start but some bad things
2020年5月9日にスペインでレビュー済み
Amazonで購入
Nicolas Corneau-Tremblay
5つ星のうち4.0 Cover a lot of material in a clear and accessible ...
2017年10月25日にカナダでレビュー済み
Amazonで購入
1人のお客様がこれが役に立ったと考えています
違反を報告
Jose Maria Lahoz
5つ星のうち5.0 Comprehensible and very didactic
2012年12月30日にスペインでレビュー済み
Amazonで購入
muffin
5つ星のうち5.0 Libro completo, ottimo!
2013年2月20日にイタリアでレビュー済み
Amazonで購入