Statistical models: theory and practice Freedman, David

By:

Freedman, David

Publication details: Cambridge Cambridge University Press 2005Description: x + 414 pISBN:

0521854830

Subject(s):

DDC classification:

300.15

Summary: Explaining the things you need to know in order to read empirical papers in the social and health sciences, as well as techniques needed to build personal statistical models, this user-friendly volume includes background material on study design, bivariate regression, and matrix algebra. To develop technique, Freedman also includes computer labs, with sample computer programs, and illustrates the principles and pitfalls of modeling. The book is rich in exercises with answers. Target audiences include undergraduates and beginning graduate students in statistics, as well as students and professionals in the social and health sciences.

Tags from this library: No tags from this library for this title. Log in to add tags.

Average rating: 0.0 (0 votes)

Holdings
Item type	Current library	Call number	Status	Date due	Barcode	Item holds
Book	Ahmedabad	300.15 F7S8 (Browse shelf(Opens below))	Available		161287

Total holds: 0

Browsing Ahmedabad shelves Close shelf browser (Hides shelf browser)

Previous								Next
Previous	300.15 F6A7 Applied regression analysis, linear models, and related methods	300.15 F6B8 Business analysis using regression: a casebook	300.15 F6M8 Multiple and generalized nonparametric regression	300.15 F7S8 Statistical models: theory and practice	300.15 N6 Nonlinear dynamical systems in economics	300.151 B7R3 Regression models: censored, sample-selected, or truncated data	300.151 C6S8 Statistical power analysis for the behavioral sciences	Next

Explaining the things you need to know in order to read empirical papers in the social and health sciences, as well as techniques needed to build personal statistical models, this user-friendly volume includes background material on study design, bivariate regression, and matrix algebra. To develop technique, Freedman also includes computer labs, with sample computer programs, and illustrates the principles and pitfalls of modeling. The book is rich in exercises with answers. Target audiences include undergraduates and beginning graduate students in statistics, as well as students and professionals in the social and health sciences.

There are no comments on this title.

to post a comment.