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Applied Linear Models with SAS

BuchGebunden
288 Seiten
Englisch
Cambridge University Presserschienen am10.05.2010
This textbook for a second course in basic statistics for undergraduates or first-year graduate students introduces linear regression models using SAS.mehr
Verfügbare Formate
BuchGebunden
EUR84,00
E-BookPDFDRM AdobeE-Book
EUR75,49

Produkt

KlappentextThis textbook for a second course in basic statistics for undergraduates or first-year graduate students introduces linear regression models using SAS.
Details
ISBN/GTIN978-0-521-76159-8
ProduktartBuch
EinbandartGebunden
Erscheinungsjahr2010
Erscheinungsdatum10.05.2010
Seiten288 Seiten
SpracheEnglisch
MasseBreite 175 mm, Höhe 250 mm, Dicke 20 mm
Gewicht682 g
Artikel-Nr.15186366

Inhalt/Kritik

Inhaltsverzeichnis
1. Introduction; 2. Principles of statistics; 3. Introduction to linear regression; 4. Assessing the regression; 5. Multiple linear regression; 6. Indicators, interactions, and transformations; 7. Nonparametric statistics; 8. Logistic regression; 9. Diagnostics for logistic regression; 10. Poisson regression; 11. Survival analysis; 12. Proportional hazards regression; 13. Review of methods; Appendix: statistical tables.mehr

Autor

Dr Daniel Zelterman is Professor of Epidemiology and Public Health in the Division of Biostatistics at Yale University. His application areas include work in genetics, HIV, and cancer. Before moving to Yale in 1995, he was on the faculty of the University of Minnesota and at the State University of New York at Albany. He is an elected Fellow of the American Statistical Association. He serves as associate editor of Biometrics and other statistical journals. He is the author of Models for Discrete Data (1999), Advanced Log-Linear Models Using SAS (2002), Discrete Distributions: Application in the Health Sciences (2004), and Models for Discrete Data, 2nd edition (2006).