Del 69
Del 145 i serien Quantitative Applications in the Social Sciences
An Introduction to Generalized Linear Models
Häftad, Engelska, 2005
1 019 kr
Beställningsvara. Skickas inom 3-6 vardagar. Fri frakt för medlemmar vid köp för minst 249 kr.
Do you have data that is not normally distributed and don't know how to analyze it using generalized linear models (GLM)? Beginning with a discussion of fundamental statistical modeling concepts in a multiple regression framework, the authors extend these concepts to GLM (including Poisson regression. logistic regression, and proportional hazards models) and demonstrate the similarity of various regression models to GLM. Each procedure is illustrated using real life data sets, and the computer instructions and results will be presented for each example. Throughout the book, there is an emphasis on link functions and error distribution and how the model specifications translate into likelihood functions that can, through maximum likelihood estimation be used to estimate the regression parameters and their associated standard errors. This book provides readers with basic modeling principles that are applicable to a wide variety of situations.
Key Features:
Key Features:
- Provides an accessible but thorough introduction to GLM, exponential family distribution, and maximum likelihood estimation
- Includes discussion on checking model adequacy and description on how to use SAS to fit GLM
- Describes the connection between survival analysis and GLM
This book is an ideal text for social science researchers who do not have a strong statistical background, but would like to learn more advanced techniques having taken an introductory course covering regression analysis.
Produktinformation
- Utgivningsdatum2005-11-02
- Mått139 x 215 x 6 mm
- Vikt110 g
- FormatHäftad
- SpråkEngelska
- SerieQuantitative Applications in the Social Sciences
- Antal sidor88
- Upplaga1
- FörlagSAGE Publications
- ISBN9780761920847
Tillhör följande kategorier
Hoppa över listan
Mer från samma serie
Del 106
Del 117
Del 119
Del 120
Del 122
Del 121
Del 118
Del 126
Del 123
Del 124
