Statistical Inference for Models with Multivariate t-Distributed Errors (PDF)
(Sprache: Englisch)
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...
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...
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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
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
Autoren-Porträt von A. K. Md. Ehsanes Saleh, Mohammad Arashi, S M M Tabatabaey
A. K. Md. Ehsanes Saleh, PhD,is Professor Emeritus and Distinguished Research
Professor in the School of Mathematics and Statistics at Carleton
University, Canada. He has published well-over 200
journal articles, and his research interests include
nonparametric statistics, order statistics, and robust estimation.
Dr. Saleh is a Fellow of the Institute of Mathematical
Statistics, the American Statistical Association, and the
Bangladesh Academy of Sciences.
M. Arashi, PhD, is Associate Professor in the
Department of Statistics at Shahrood University of Technology,
Iran. The recipient of the Award for Teaching Excellence from
Shahrood University in 2013, his research interests include
shrinkage estimation, distribution theory, and multivariate
analysis.
S. M. M. Tabatabaey, PhD, is Associate Professor
in the Department of Statistics at Ferdowski University of Mashhad,
Iran. The author of over fifteen journal articles, he is also
a member of the Institute of Mathematical Statistics and the
Iranian Statistical Society.
Bibliographische Angaben
- Autoren: A. K. Md. Ehsanes Saleh , Mohammad Arashi , S M M Tabatabaey
- 2014, 1. Auflage, 272 Seiten, Englisch
- Verlag: John Wiley & Sons
- ISBN-10: 111885392X
- ISBN-13: 9781118853924
- Erscheinungsdatum: 01.10.2014
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