Statistical models for causal analysis
Author(s)
Bibliographic Information
Statistical models for causal analysis
Wiley, c1993
Available at / 31 libraries
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Research Institute for Economics & Business Administration (RIEB) Library , Kobe University図書
519.9-751s081000090939*
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Note
"A Wiley-Interscience publication."
Bibliography: p. 251-253
Includes index
Description and Table of Contents
Description
Simplifies the treatment of statistical inference focusing on how to specify and interpret models in the context of testing causal theories. Simple bivariate regression, multiple regression, multiple classification analysis, path analysis, logit regression, multinomial logit regression and survival models are among the subjects covered. Features an appendix of computer programs (for major statistical packages) that are used to generate illustrative examples contained in the chapters.
Table of Contents
Bivariate Linear Regression.
Multiple Regression.
Multiple Classification Analysis.
Path Analysis.
Logit Regression.
Multinomial Logit Regression.
Survival Models 1: Life Tables.
Survival Models 2: Proportional Hazard Models.
Survival Models 3: Hazard Models with Time Dependence.
Appendices.
References.
Index.
by "Nielsen BookData"
