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Introduction to regression modeling / Bovas Abraham, Johannes Ledolter.

By: Abraham, Bovas, 1942-.
Contributor(s): Ledolter, Johannes.
Series: Duxbury applied series. Publisher: Belmont, CA : Thomson Brooks/Cole, c2006Description: xiv, 433 p. : ill. ; 25 cm. + 1 CD-ROM (4 3/4 in.).ISBN: 0534420753 (hbk.); 9780534420758 (hbk.); 049501060X (CD-ROM).Subject(s): Regression analysis | Logistic regression analysis | Linear models (Mathematics)DDC classification: 519.536
Contents:
1. Introduction to regression models 2. Simple linear regression - 3. A review of matrix algebra and important results on Random Vectors - 4. Multiple linear regression - 5. Specification issues in regression - 6. Model checking - 7. Model selection - 8. Case studies in linear regression - 9. Nonlinear regression models - 10. Regression models for time series situations - 11. Logistic regression - 12. Generalized linear models and poisson regression - Answers to selected - Exercises - Statistical tables - References - List of data files - Index.
Item type Current location Shelf location Call number Copy number Status Notes Date due Barcode Remark
Accompanying Material (Media Resource) Taylor's Library-TU
519.536 ABR (Browse shelf) 1 Available SLASx,05000,03,CL 1000517203
Main Collection Taylor's Library-TU

Floor 4, Shelf 15 , Side 2, TierNo 5, BayNo 6

 519.536 ABR (Browse shelf) 1 Available SLASx,05000,03,CL 5000004000
Main Collection Taylor's Library-TU

Floor 4, Shelf 15 , Side 2, TierNo 5, BayNo 6

 519.536 ABR (Browse shelf) 1 Available SHTEx,70002,03,GR 5000030094
Accompanying Material (Media Resource) TU External Storage-LCS
519.536 ABR (Browse shelf) 1 Available SHTEx,70002,03,GR 1000807395 Please fill up online form at https://taylorslibrary.taylors.edu.my/services/external_storage1

Includes bibliographical references and index.

1. Introduction to regression models 2. Simple linear regression - 3. A review of matrix algebra and important results on Random Vectors - 4. Multiple linear regression - 5. Specification issues in regression - 6. Model checking - 7. Model selection - 8. Case studies in linear regression - 9. Nonlinear regression models - 10. Regression models for time series situations - 11. Logistic regression - 12. Generalized linear models and poisson regression - Answers to selected - Exercises - Statistical tables - References - List of data files - Index.

System requirements for accompanying CD-ROM: Microsoft Windows.