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题名/责任者:

Applied linear models with SAS / Daniel Zelterman.

出版发行项:

Cambridge ; New York : Cambridge University Press, 2010.

ISBN:

9780521761598 (hc)

ISBN:

052176159X

载体形态项:

xiii, 273 p. : ill., map ; 27 cm.

个人责任者:

Zelterman, Daniel.

论题主题:

Regression analysis.

论题主题:

Linear models (Statistics)

论题主题:

SAS (Computer program language)

中图法分类号:

O212.1

书目附注:

Includes bibliographical references (p. 259-261) and index.

内容附注:

Introduction -- Principles of statistics -- Introduction to linear regression -- Assessing the regression -- Multiple linear regression -- Indicators, interactions, and transformations -- Nonparametric statistics -- Logistic regression -- Diagnostics for logistic regression -- Poisson regression -- Survival analysis -- Proportional hazards regression -- Review of methods -- Appendix: statistical tables.

摘要附注:

"This textbook for a second course in basic statistics for undergraduates or first-year graduate students introduces linear regression models and describes other linear models including Poisson regression, logistic regression, proportional hazards regression, and nonparametric regression. Numerous examples drawn from the news and current events with an emphasis on health issues illustrate these concepts. Assuming only a pre-calculus background, the author keeps equations to a minimum and demonstrates all computations using SAS. Most of the programs and output are displayed in a self-contained way, with an emphasis on the interpretation of the output in terms of how it relates to the motivating example. Plenty of exercises conclude every chapter. All of the datasets and SAS programs are available from the book's Web site, along with other ancillary material"--Provided by publisher.

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