Coverart for item
The Resource Modeling count data, Joseph M. Hilbe, Arizona State University and Jet Propulsion Laboratory, California Institute of Technology, (electronic resource)

Modeling count data, Joseph M. Hilbe, Arizona State University and Jet Propulsion Laboratory, California Institute of Technology, (electronic resource)

Label
Modeling count data
Title
Modeling count data
Statement of responsibility
Joseph M. Hilbe, Arizona State University and Jet Propulsion Laboratory, California Institute of Technology
Creator
Subject
Language
eng
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 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.--
Assigning source
Provided by publisher
Cataloging source
UkCbUP
http://library.link/vocab/creatorDate
1944-
http://library.link/vocab/creatorName
Hilbe, Joseph M.
Index
index present
Literary form
non fiction
Nature of contents
dictionaries
Series statement
Cambridge Social Sciences eBooks
http://library.link/vocab/subjectName
  • Multivariate analysis
  • Statistics
  • Linear models (Statistics)
Label
Modeling count data, Joseph M. Hilbe, Arizona State University and Jet Propulsion Laboratory, California Institute of Technology, (electronic resource)
Link
https://eui.idm.oclc.org/login?url=https://doi.org/10.1017/CBO9781139236065
Instantiates
Publication
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
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
Control code
CR9781139236065
Dimensions
unknown
Extent
1 online resource (xv, 283 pages)
Form of item
online
Governing access note
Use of this electronic resource may be governed by a license agreement which restricts use to the European University Institute community. Each user is responsible for limiting use to individual, non-commercial purposes, without systematically downloading, distributing, or retaining substantial portions of information, provided that all copyright and other proprietary notices contained on the materials are retained. The use of software, including scripts, agents, or robots, is generally prohibited and may result in the loss of access to these resources for the entire European University Institute community
Isbn
9781139236065
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other physical details
digital, PDF file(s).
Specific material designation
remote
System control number
(OCoLC)885338063
Label
Modeling count data, Joseph M. Hilbe, Arizona State University and Jet Propulsion Laboratory, California Institute of Technology, (electronic resource)
Link
https://eui.idm.oclc.org/login?url=https://doi.org/10.1017/CBO9781139236065
Publication
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
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
Control code
CR9781139236065
Dimensions
unknown
Extent
1 online resource (xv, 283 pages)
Form of item
online
Governing access note
Use of this electronic resource may be governed by a license agreement which restricts use to the European University Institute community. Each user is responsible for limiting use to individual, non-commercial purposes, without systematically downloading, distributing, or retaining substantial portions of information, provided that all copyright and other proprietary notices contained on the materials are retained. The use of software, including scripts, agents, or robots, is generally prohibited and may result in the loss of access to these resources for the entire European University Institute community
Isbn
9781139236065
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other physical details
digital, PDF file(s).
Specific material designation
remote
System control number
(OCoLC)885338063

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