Modeling count data /
by Hilbe, Joseph M.
Material type:
BookPublisher: Cambridge : Cambridge University Press, 2014 (2017 printing)Description: xv, 283 p. : ill. ; 24 cm.ISBN: 9781107611252 (pbk).Subject(s): Multivariate analysis | Statistics | Linear models (Statistics)Summary: "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"-- Provided by publisher.
| Item type | Current location | Collection | Call number | Copy number | Status | Date due | Barcode |
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Dhaka University Science Library General Stacks | Non Fiction | 519.535 HIM (Browse shelf) | 1 | Available | 520410 | |
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Books
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Dhaka University Science Library General Stacks | Non Fiction | 519.535 HIM (Browse shelf) | 2 | Available | 520411 |
Browsing Dhaka University Science Library Shelves , Shelving location: General Stacks , Collection code: Non Fiction Close shelf browser
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| 519.535 HAP A primer of multivariate statistics / | 519.535 HAP A primer of multivariate statistics / | 519.535 HIM Modeling count data / | 519.535 HIM Modeling count data / | 519.535 HOM Multiple comparison procedures / | 519.535 J68a Applied multivariate statistical analysis / | 519.535 J68a Applied multivariate statistical analysis / |
Includes index.
Bibliography: p. 269-275.
"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"-- Provided by publisher.
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