Statistical models : theory and practice / David A. Freedman.

By: Freedman, David, 1938-2008 Material type: Text

TextLanguage: English Publication details: Cambridge ; New York : Cambridge University Press, 2005. Description: x, 414 p. : ill. ; 25 cmISBN: 9780521854832; 0521854830; 9780521671057 (pbk.); 0521671051 (pbk.)Subject(s): Social sciences -- Statistics -- Methodology | Medical statistics -- Methodology | Regression analysis | Statistics -- MethodologyDDC classification: 300.1519536 LOC classification: HA29 | .F678 2005Online resources: Publisher description | WorldCat details | Table of contents only | Contributor biographical information

Contents:

TOC Observational studies and experiments -- The regression line -- Matrix algebra -- Multiple regression -- Path models -- Maximum likelihood -- The bootstrap -- Simultaneous equations.

Summary: Summary: "Statistical Models is a textbook that explains the things you have to know in order to read empirical papers in the social and health sciences, as well as techniques you need to build statistical models of your own." "The author, David A. Freedman, explains the basic ideas of association and regression, and takes you through the current models that link these ideas to causality. He focuses on applications of linear models, including generalized least squares and two-stage least squares, with probits and logits for binary variables." "Target audiences include undergraduates and beginning graduate students in statistics, as well as students and professionals in the social and health sciences. 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."--BOOK JACKET.

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Holdings
Item type	Current library	Collection	Call number	Copy number	Status	Date due	Barcode	Item holds
Text	Dr. S. R. Lasker Library, EWU Reserve Section	Non-fiction	300.1519536 FRS (Browse shelf(Opens below))	C-1	Not For Loan		20142

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Includes bibliographical references and index.

TOC Observational studies and experiments --
The regression line --
Matrix algebra --
Multiple regression --
Path models --
Maximum likelihood --
The bootstrap --
Simultaneous equations.

Summary:
"Statistical Models is a textbook that explains the things you have to know in order to read empirical papers in the social and health sciences, as well as techniques you need to build statistical models of your own." "The author, David A. Freedman, explains the basic ideas of association and regression, and takes you through the current models that link these ideas to causality. He focuses on applications of linear models, including generalized least squares and two-stage least squares, with probits and logits for binary variables." "Target audiences include undergraduates and beginning graduate students in statistics, as well as students and professionals in the social and health sciences. 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."--BOOK JACKET.

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