Statistical models : theory and practice

David A. Freedman

This lively and engaging book explains the things you have to know in order to read empirical papers in the social and health sciences, as well as the techniques you need to build statistical models of your own. The discussion in the book is organized around published studies, as are many of the exercises. Relevant journal articles are reprinted at the back of the book. Freedman makes a thorough appraisal of the statistical methods in these papers and in a variety of other examples. He illustrates the principles of modelling, and the pitfalls. The discussion shows you how to think about the critical issues - including the connection (or lack of it) between the statistical models and the real phenomena. The book is written for advanced undergraduates and beginning graduate students in statistics, as well as students and professionals in the social and health sciences.

「Nielsen BookData」より

This lively and engaging book explains the things you have to know in order to read empirical papers in the social and health sciences, as well as the techniques you need to build statistical models of your own. The discussion in the book is organized around published studies, as are many of the exercises. Relevant journal articles are reprinted at the back of the book. Freedman makes a thorough appraisal of the statistical methods in these papers and in a variety of other examples. He illustrates the principles of modelling, and the pitfalls. The discussion shows you how to think about the critical issues - including the connection (or lack of it) between the statistical models and the real phenomena. The book is written for advanced undergraduates and beginning graduate students in statistics, as well as students and professionals in the social and health sciences.

「Nielsen BookData」より

[目次]

  • 1. Observational studies and experiments
  • 2. The regression line
  • 3. Matrix algebra
  • 4. Multiple regression
  • 5. Multiple regression: special topics
  • 6. Path models
  • 7. Maximum likelihood
  • 8. The bootstrap
  • 9. Simultaneous equations
  • 10. Issues in statistical modeling.

「Nielsen BookData」より

[目次]

  • 1. Observational studies and experiments
  • 2. The regression line
  • 3. Matrix algebra
  • 4. Multiple regression
  • 5. Multiple regression: special topics
  • 6. Path models
  • 7. Maximum likelihood
  • 8. The bootstrap
  • 9. Simultaneous equations
  • 10. Issues in statistical modeling.

「Nielsen BookData」より

この本の情報

書名 Statistical models : theory and practice
著作者等 Freedman, David
Freedman David A.
出版元 Cambridge University Press
刊行年月 2009
版表示 Revised ed.
ページ数 xiv, 442 p.
大きさ 25 cm
ISBN 9780521743853
9780521112437
NCID BA9007828X
※クリックでCiNii Booksを表示
言語 英語
出版国 イギリス
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