Applied linear models with SAS /
Zelterman, Daniel.
Applied linear models with SAS / Daniel Zelterman. - Cambridge ; New York : Cambridge University Press, 2010. - xiii, 273 p. : ill. ; 27 cm.
Includes bibliographical references and index.
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.
"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.
9780521761598 (hc) 052176159X
2009053487
GBB046092 bnb
015522265 Uk
Regression analysis.
Linear models (Statistics)
SAS (Computer program language)
QA278.2 / .Z45 2010
519.5/35
Applied linear models with SAS / Daniel Zelterman. - Cambridge ; New York : Cambridge University Press, 2010. - xiii, 273 p. : ill. ; 27 cm.
Includes bibliographical references and index.
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.
"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.
9780521761598 (hc) 052176159X
2009053487
GBB046092 bnb
015522265 Uk
Regression analysis.
Linear models (Statistics)
SAS (Computer program language)
QA278.2 / .Z45 2010
519.5/35