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Applied linear models with SAS /

"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. Numer...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Zelterman, Daniel
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cambridge ; New York : Cambridge University Press, 2010.
Temas:
Acceso en línea:Texto completo

MARC

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100 1 |a Zelterman, Daniel. 
245 1 0 |a Applied linear models with SAS /  |c Daniel Zelterman. 
260 |a Cambridge ;  |a New York :  |b Cambridge University Press,  |c 2010. 
300 |a 1 online resource (xiii, 273 pages) :  |b illustrations 
336 |a text  |b txt  |2 rdacontent 
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520 |a "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 
504 |a Includes bibliographical references and index. 
505 0 |a 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. 
588 0 |a Print version record. 
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650 0 |a Regression analysis. 
650 0 |a Linear models (Statistics) 
650 0 |a SAS (Computer program language) 
650 2 |a Regression Analysis 
650 6 |a Analyse de régression. 
650 6 |a SAS (Langage de programmation) 
650 7 |a MATHEMATICS  |x Probability & Statistics  |x Multivariate Analysis.  |2 bisacsh 
650 7 |a Linear models (Statistics)  |2 fast 
650 7 |a Regression analysis  |2 fast 
650 7 |a SAS (Computer program language)  |2 fast 
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