Quasi-least squares regression / Justine Shults and Joseph M. Hilbe.
Material type:
TextSeries: Monographs on statistics and applied probability ; 132Publication details: Boca Raton : CRC Press, c2014.Description: xvii, 203 p. : illustrations ; 25 cmISBN: - 9781420099935 (hardcover : alk. paper)
- Quasi least squares regression
- 000SA.067 23 Sh562
| Item type | Current library | Call number | Status | Date due | Barcode | Item holds | |
|---|---|---|---|---|---|---|---|
| Books | ISI Library, Kolkata | 000SA.067 Sh562 (Browse shelf(Opens below)) | Available | 135967 |
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| 000SA.06=4 D567 Sur la determinination des lignes de regression modales de frequences asymetriques | 000SA.06=49 Y94 Proceedings of the 7th conference | 000SA.066 B743 Statistical information and likelihood | 000SA.067 Sh562 Quasi-least squares regression / | 000SA.069 D229 Optimal covariate designs : | 000SA.069 H668 Advanced analysis of variance / | 000SA.069 P877 High-dimensional covariance estimation / |
Includes bibliographical references (pages 191-200) and index.
Part I: Introduction;
1: Introduction;
2: Review of Generalized Linear Models and Generalized Estimating Equations;
Part II: Quasi-Least Squares Theory and Applications;
3. History and Theory of Quasi-Least Squares Regression;
4. Mixed Linear Structures and Familial Data;
5. Correlation Structures for Clustered and Longitudinal Data;
6. Analysis of Data with Multiple Sources of Correlation;
7. Correlated Binary Data;
8. Assessing Goodness of Fit and Choice of Correlation Structure for QLS and GE;
9. Sample Size and Demonstration;
Bibliography;
Index.
Drawing on the authors' substantial expertise in modeling longitudinal and clustered data, Quasi-Least Squares Regression provides a thorough treatment of quasi-least squares (QLS) regression-a computational approach for the estimation of correlation parameters within the framework of generalized estimating equations (GEEs). The authors present a detailed evaluation of QLS methodology, demonstrating the advantages of QLS in comparison with alternative methods.
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