TY - BOOK
AU - Hilbe,Joseph M.
TI - Modeling count data
SN - 9781107611252 (pb)
AV - QA278 .H56 2014
U1 - 519.535 HIL/Mod 23
PY - 2014///
CY - Delhi
PB - Cambridge University Press
KW - Multivariate analysis
KW - Statistics
KW - Linear models (Statistics)
KW - MATHEMATICS / Probability & Statistics / General
KW - bisacsh
N1 - Includes bibliographical references and index; Machine generated contents note: Preface; 1. Varieties of count data; 2. Poisson regression; 3. Testing overdispersion; 4. Assessment of fit; 5. Negative binomial regression; 6. Poisson inverse Gaussian regression; 7. Problems with zeros; 8. Modeling under-dispersed count data - generalized Poisson; 9. Complex data: more advanced models; Appendix A: SAS code; References; Index
N2 - "This entry-level text offers clear and concise guidelines on how to select, construct, interpret, and evaluate count data. Written for researchers with little or no background in advanced statistics, the book presents treatments of all major models using numerous tables, insets, and detailed modeling suggestions. It begins by demonstrating the fundamentals of linear regression and works up to an analysis of the Poisson and negative binomial models, and to the problem of overdispersion. Examples in Stata, R, and SAS code enable readers to adapt models for their own purposes, making the text an ideal resource for researchers working in public health, ecology, econometrics, transportation, and other related fields"--
ER -