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Data Analysis Using Regression and M...

Gelman, Andrew.

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Data Analysis Using Regression and Multilevel/Hierarchical Models.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Data Analysis Using Regression and Multilevel/Hierarchical Models./
作者:	Gelman, Andrew.
其他作者:	Hill, Jennifer.
出版者:	Leiden :Cambridge University Press, : 2006.,
面頁冊數:	651 p.
叢書名:	Analytical Methods for Social Research
內容註:	Cover; Half-title; Series-title; Title; Copyright; Dedication; Contents; List of examples; Preface; CHAPTER 1 Why?; CHAPTER 2 Concepts and methods from basic probability and statistics; Part 1A: Single-level regression; Part 1B: Working with regression inferences; Part 2A: Multilevel regression; Part 2B: Fitting multilevel models; Part 3: From data collection to model understanding to model checking; Appendixes; References; Author index; Subject index
電子資源:	http://dx.doi.org/10.1017/CBO9780511790942Click here to view book
ISBN:	9780511790942 (electronic bk.)

Data Analysis Using Regression and Multilevel/Hierarchical Models.
Gelman, Andrew.

Data Analysis Using Regression and Multilevel/Hierarchical Models.[electronic resource]. - Leiden :Cambridge University Press,2006. - 651 p. - Analytical Methods for Social Research.

Cover; Half-title; Series-title; Title; Copyright; Dedication; Contents; List of examples; Preface; CHAPTER 1 Why?; CHAPTER 2 Concepts and methods from basic probability and statistics; Part 1A: Single-level regression; Part 1B: Working with regression inferences; Part 2A: Multilevel regression; Part 2B: Fitting multilevel models; Part 3: From data collection to model understanding to model checking; Appendixes; References; Author index; Subject index

For the applied researcher performing data analysis using linear and nonlinear regression and multilevel models.

Electronic reproduction.

Available via World Wide Web.

Mode of access: World Wide Web.

ISBN: 9780511790942 (electronic bk.)Index Terms--Genre/Form:

542853
Electronic books.

LC Class. No.: HA31.3 . / G45 2007

Dewey Class. No.: 519.5/36

Data Analysis Using Regression and Multilevel/Hierarchical Models.
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