Statistical models :
Freedman, David, 1938-2008.
Statistical models : theory and practice / David A. Freedman. - Cambridge ; New York : Cambridge University Press, 2005. - x, 414 p. : ill. ; 25 cm.
Includes bibliographical references and index.
Observational studies and experiments --
The regression line --
Matrix algebra --
Multiple regression --
Path models --
Maximum likelihood --
The bootstrap --
Simultaneous equations. TOC
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.
9780521854832 0521854830 9780521671057 (pbk.) 0521671051 (pbk.)
2005047097
Social sciences--Statistics--Methodology.
Medical statistics--Methodology.
Regression analysis.
Statistics--Methodology.
HA29 / .F678 2005
300.1519536 / FRS 2005
Statistical models : theory and practice / David A. Freedman. - Cambridge ; New York : Cambridge University Press, 2005. - x, 414 p. : ill. ; 25 cm.
Includes bibliographical references and index.
Observational studies and experiments --
The regression line --
Matrix algebra --
Multiple regression --
Path models --
Maximum likelihood --
The bootstrap --
Simultaneous equations. TOC
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.
9780521854832 0521854830 9780521671057 (pbk.) 0521671051 (pbk.)
2005047097
Social sciences--Statistics--Methodology.
Medical statistics--Methodology.
Regression analysis.
Statistics--Methodology.
HA29 / .F678 2005
300.1519536 / FRS 2005