Statistical inference for models with multivariate t-distributed errors /

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Bibliographic Details
Author / Creator:Saleh, A. K. Md. Ehsanes, author.
Imprint:Hoboken, New Jersey : Wiley, [2014]
©2014
Description:1 online resource
Language:English
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/13621967
Hidden Bibliographic Details
Other authors / contributors:Arashi, M. (Mohammad), 1981- author.
Tabatabaey, S. M. M., author.
ISBN:9781118853962
1118853962
9781118853924
111885392X
9781118853931
1118853938
1118854055
9781118854051
9781322196138
1322196133
9781118854051
Notes:Includes bibliographical references and index.
Print version record an. publisher; resource not viewed.
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, which is available via written request by the Publisher "--
Other form:Print version: Saleh, A.K. Md. Ehsanes. Statistical inference for models with multivariate t-distributed errors. Hoboken, New Jersey : John Wiley & Sonsa, Inc., [2014] 9781118854051
Description
Summary:<p>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 :</p> 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, which is available via written request by the Publisher
Physical Description:1 online resource
Bibliography:Includes bibliographical references and index.
ISBN:9781118853962
1118853962
9781118853924
111885392X
9781118853931
1118853938
1118854055
9781118854051
9781322196138
1322196133