Indian Statistical Institute Library, Kolkata

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Library,Documentation and Information Science Division

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Statistical inference for models with multivariate t-distributed errors / A.K. Md. Ehsanes Saleh, M. Arashi and S.M.M. Tabatabaey.

By: Saleh, A. K. Md. Ehsanes.
Contributor(s): Arashi, M | Tabatabaey, S. M. M.
Material type: TextTextPublisher: New Jersey : John Wiley, c2014Description: xxiv, 248 p. : illustrations ; 25 cm.ISBN: 9781118854051 (hardback).Subject(s): Regression analysis | Multivariate analysisDDC classification: 000SA.06
Contents:
1. Introduction-- 2. Preliminaries -- 3. Location model -- 4. Simple regression model -- 5. ANOVA -- 6. Parallelism model -- 7. Multiple regression model -- 8. Ridge regression -- 9. Multivariate models -- 10. Bayesian analysis -- 11. Linear prediction models -- 12. Stein estimation-- References-- Author index-- Subject index.
Summary: This book summarizes the results of various models under normal theory with a brief review of the literature. Statistical Inference for Models with Multivariate t-Distributed Errors: Includes a wide array of applications for the analysis of multivariate observations Emphasizes the development of linear statistical models with applications to engineering, the physical sciences, and mathematics Contains an up-to-date bibliography featuring the latest trends and advances in the field to provide a collective source for research on the topic Addresses linear regression models with non-normal errors with practical real-world examples Uniquely addresses regression models in Student's t-distributed errors and t-models Supplemented with an Instructor's Solutions Manual.
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Item type Current location Call number Status Date due Barcode Item holds
Books Books ISI Library, Kolkata
 
000SA.06 Sa163 (Browse shelf) Available 136202
Total holds: 0

Includes bibliographical references and indexes.

1. Introduction--
2. Preliminaries --
3. Location model --
4. Simple regression model --
5. ANOVA --
6. Parallelism model --
7. Multiple regression model --
8. Ridge regression --
9. Multivariate models --
10. Bayesian analysis --
11. Linear prediction models --
12. Stein estimation--
References--
Author index--
Subject index.

This book summarizes the results of various models under normal theory with a brief review of the literature. Statistical Inference for Models with Multivariate t-Distributed Errors: Includes a wide array of applications for the analysis of multivariate observations Emphasizes the development of linear statistical models with applications to engineering, the physical sciences, and mathematics Contains an up-to-date bibliography featuring the latest trends and advances in the field to provide a collective source for research on the topic Addresses linear regression models with non-normal errors with practical real-world examples Uniquely addresses regression models in Student's t-distributed errors and t-models Supplemented with an Instructor's Solutions Manual.

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