FREE Standard shipping on all items
FREE Standard shipping on all items
FREE Standard shipping
Loading...

Statistical Models
Theory and Practice

Revised

ISBN: 9780521743853

Product: Book, Paperback

May have wear from normal use.

See full description

This lively and engaging textbook 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 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. The focus is on applications of linear models, including generalized least squares and two-stage least squares, with probits and logits for binary variables. The bootstrap is developed as a technique for estimating bias and computing standard errors. Careful attention is paid to the principles of statistical inference. There is background material on study design, bivariate regression, and matrix algebra. To develop technique, there are computer labs with sample computer programs. The book is rich in exercises, most with answers. Target audiences include advanced 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. Freedman makes a thorough appraisal of the statistical methods in these papers and in a variety of other examples. He illustrates the principles of modeling, 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. Features of the book: - authoritative guidance from a well-known author with wide experience in teaching, research, and consulting - careful analysis of statistical issues in substantive applications - no-nonsense, direct style - versatile structure, enabling the text to be used as a text in a course, or read on its own - text that has been thoroughly class-tested at Berkeley - background material on regression and matrix algebra - plenty of exercises, most with solutions - extra material for instructors, including data sets and code for lab projects (available from Cambridge University Press) - many new exercises and examples - reorganized, restructured, and revised chapters to aid teaching and understanding

ISBN/UPC:

9780521743853

Product:

Book, Paperback

Title:

Statistical Models: Theory and Practice

Edition:

Revised

Contributors
Publisher:

Cambridge University Press, 2009

Pages:

442

Languages:

English

Specification:

9.6 x 6.6 x 1.0 inches, 1.7 pounds

load
Acceptable:Fairly worn but fully readable and intact. Pages may include notes, highlighting, or minor water damage. Dust jacket, CDs, product codes, or other inclusions may be missing or expired.
Good:Shows signs of wear. Pages may include limited notes or highlighting. Dust jacket, CDs, product codes, or other inclusions may be missing or expired.
Very Good:Item has seen limited use and has minimal signs of wear. Pages are clean without markings. Dust jacket, CDs, product codes, or other inclusions may be missing or expired.
Like New:Shows little to no signs of wear. Spine has no signs of creasing. Pages are clean without markings. CDs, product codes, or other inclusions may be missing or expired.
New:Brand new, unused, and in perfect condition. Includes all original packaging and accessories.