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Quantitative Applications in the Social Sciences Ser.: Fixed Effects Regression Models by Paul D. Allison (2009, Trade Paperback)

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About this product

Product Identifiers

PublisherSAGE Publications, Incorporated

ISBN-100761924973

ISBN-139780761924975

eBay Product ID (ePID)71138463

Product Key Features

Number of Pages136 Pages

LanguageEnglish

Publication NameFixed Effects Regression Models

SubjectProbability & Statistics / Regression Analysis, Research, Statistics

Publication Year2009

TypeTextbook

Subject AreaMathematics, Social Science

AuthorPaul D. Allison

SeriesQuantitative Applications in the Social Sciences Ser.

FormatTrade Paperback

Dimensions

Item Height0.3 in

Item Weight6 Oz

Item Length8.5 in

Item Width5.5 in

Additional Product Features

Intended AudienceCollege Audience

LCCN2008-044919

Dewey Edition22

Series Volume Number160

IllustratedYes

Dewey Decimal519.5/36

Table Of ContentAbout the AuthorSeries Editors Introduction1. Introduction2. Linear Fixed Effects Models: Basics3. Fixed Effects Logistic Models4. Fixed Effects Models for Count Data5. Fixed Effects Models for Events History Data6. Structural Equation Models With Fixed EffectsAppendix 1Appendix 2ReferencesAuthor IndexSubject Index

SynopsisThis book demonstrates how to estimate and interpret fixed-effects models in a variety of different modeling contexts: linear models, logistic models, Poisson models, Cox regression models, and structural equation models. Both advantages and disadvantages of fixed-effects models will be considered, along with detailed comparisons with random-effects models. Written at a level appropriate for anyone who has taken a year of statistics, the book is appropriate as a supplement for graduate courses in regression or linear regression as well as an aid to researchers who have repeated measures or cross-sectional data., This book demonstrates how to estimate and interpret fixed-effects models in a variety of different modeling contexts: linear models, logistic models, Poisson models, Cox regression models, and structural equation models. Both advantages and disadvantages, This book will show how to estimate and interpret fixed-effects models in a variety of different modeling contexts: linear models, logistic models, Poisson models, Cox regression models, and structural equation models. Both advantages and disadvantages of fixed-effects models will be considered, along with detailed comparisons with random-effects models. Written at a level appropriate for anyone who has taken a year of statistics, the book will be appropriate as a supplement for graduate courses in regression or linear regression as well as an aid to researchers who have repeated measures or cross-sectional data., This book demonstrates how to estimate and interpret fixed-effects models in a variety of different modeling contexts., This book demonstrates how to estimate and interpret fixed-effects models in a variety of different modeling contexts: linear models, logistic models, Poisson models, Cox regression models, and structural equation models. Both advantages and disadvantages of fixed-effects models will be considered, along with detailed comparisons with random-effects models. Written at a level appropriate for anyone who has taken a year of statistics, the book is appropriate as a supplement for graduate courses in regression or linear regression as well as an aid to researchers who have repeated measures or cross-sectional data. Learn more about "The Little Green Book" - QASS Series Click Here

LC Classification NumberHA31.3