Modeling Count Data by Hilbe Joseph (39 results)

Paperback. Condition: Very Good. 1. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.

Condition: Very Good. Very Good condition. A copy that may have a few cosmetic defects. May also contain light spine creasing or a few markings such as an owner's name, short gifter's inscription or light stamp.

Condition: New.

Paperback or Softback. Condition: New. Modeling Count Data. Book.

Condition: very good. Gut/Very good: Buch bzw. Schutzumschlag mit wenigen Gebrauchsspuren an Einband, Schutzumschlag oder Seiten. / Describes a book or dust jacket that does show some signs of wear on either the binding, dust jacket or pages.

Condition: As New. Unread book in perfect condition.

Condition: New.

Paperback. Condition: New. 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 modeling count data, including a thorough presentation of the Poisson model. It then works up to an analysis of the problem of overdispersion and of the negative binomial model, and finally to the many variations that can be made to the base count models. 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 health, ecology, econometrics, transportation, and other fields. …

Paperback. Condition: New. 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 modeling count data, including a thorough presentation of the Poisson model. It then works up to an analysis of the problem of overdispersion and of the negative binomial model, and finally to the many variations that can be made to the base count models. 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 health, ecology, econometrics, transportation, and other fields. …

Condition: New. In English.

Paperback. Condition: New.

Condition: New. This book provides guidelines and fully worked examples of how to select, construct, interpret and evaluate the full range of count models. Num Pages: 300 pages, 10 b/w illus. 81 tables. BIC Classification: PBT. Category: (U) Tertiary Education (US: College). Dimension: 235 x 179 x 16. Weight in Grams: 498. . 2014. Paperback. . . . .…

Condition: New.

Condition: As New. Unread book in perfect condition.

Condition: New. pp. 272.

Condition: New. This book provides guidelines and fully worked examples of how to select, construct, interpret and evaluate the full range of count models. Num Pages: 300 pages, 10 b/w illus. 81 tables. BIC Classification: PBT. Category: (U) Tertiary Education (US: College). Dimension: 235 x 179 x 16. Weight in Grams: 498. . 2014. Paperback. . . . . Books ship from the US and Ireland.…

Paperback. Condition: Brand New. 1st edition. 300 pages. 10.00x7.00x1.00 inches. In Stock.

Paperback. Condition: New. 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 modeling count data, including a thorough presentation of the Poisson model. It then works up to an analysis of the problem of overdispersion and of the negative binomial model, and finally to the many variations that can be made to the base count models. 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 health, ecology, econometrics, transportation, and other fields. …

Condition: New.

Paperback. Condition: New. 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 modeling count data, including a thorough presentation of the Poisson model. It then works up to an analysis of the problem of overdispersion and of the negative binomial model, and finally to the many variations that can be made to the base count models. 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 health, ecology, econometrics, transportation, and other fields. …

Condition: New. In English.

Condition: New. This book provides guidelines and fully worked examples of how to select, construct, interpret and evaluate the full range of count models. Num Pages: 300 pages, 10 b/w illus. 81 tables. BIC Classification: PBT. Category: (U) Tertiary Education (US: College). Dimension: 243 x 179 x 21. Weight in Grams: 656. . 2014. Illustrated. hardcover. . . . .…

Hardback. Condition: New. 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 modeling count data, including a thorough presentation of the Poisson model. It then works up to an analysis of the problem of overdispersion and of the negative binomial model, and finally to the many variations that can be made to the base count models. 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 health, ecology, econometrics, transportation, and other fields. …

Condition: New. This book provides guidelines and fully worked examples of how to select, construct, interpret and evaluate the full range of count models. Num Pages: 300 pages, 10 b/w illus. 81 tables. BIC Classification: PBT. Category: (U) Tertiary Education (US: College). Dimension: 243 x 179 x 21. Weight in Grams: 656. . 2014. Illustrated. hardcover. . . . . Books ship from the US and Ireland.…

Condition: New. pp. 298.

Hardcover. Condition: Brand New. 1st edition. 300 pages. 9.50x7.25x1.00 inches. In Stock.

Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 modeling count data, including a thorough presentation of the Poisson model. It then works up to an analysis of the problem of overdispersion and of the negative binomial model, and finally to the many variations that can be made to the base count models. 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 health, ecology, econometrics, transportation, and other fields.…

Hardback. Condition: New. 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 modeling count data, including a thorough presentation of the Poisson model. It then works up to an analysis of the problem of overdispersion and of the negative binomial model, and finally to the many variations that can be made to the base count models. 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 health, ecology, econometrics, transportation, and other fields. …

Hardcover. Condition: Like New. Like New. book.

Condition: New. Print on Demand pp. 272 10 Illus.