Robust Regression: Analysis and Applications

Author:   Kenneth D. Lawrence ,  Jeffrey L. Arthur
Publisher:   Taylor & Francis Ltd
ISBN:  

9780367580186


Pages:   310
Publication Date:   30 June 2020
Format:   Paperback
Availability:   In Print   Availability explained
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Robust Regression: Analysis and Applications


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Author:   Kenneth D. Lawrence ,  Jeffrey L. Arthur
Publisher:   Taylor & Francis Ltd
Imprint:   Routledge
Weight:   0.453kg
ISBN:  

9780367580186


ISBN 10:   0367580187
Pages:   310
Publication Date:   30 June 2020
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

Part 1 Advances in Robust Regression, Part II Robust Regression Methods, Part III Forecasting and Robust Regression, Index.

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KENNETH D. LAWRENCE is Adjunct Professor of Industrial and Systems Engineering at Rutgers University in Piscataway, New Jersey. His professional employment includes 20 years of experience in technical management positions in strategic planning and operations research with the U.S. Army Munitions Command, Prudential Insurance, Hoffmann-La Roche, AT&T Long Lines, and AT&T. The author or coauthor of several articles and book chapters on regression analysis and forecasting, he is an associate editor of the Journal of Statistical Computation and Simulation. His professional affiliations include the American Statistical Association, Operations Research Society of America, Institute of Industrial Engineers, Institute of Management Sciences, Institute of Decision Sciences, and Institute of Mathematical Statistics. Dr. Lawrence’s graduate education includes master’s degrees in statistics, operations research, industrial engineering, finance and management, as well as a doctoral degree in applied statistics and operations research from Rutgers University (1978). JEFFREY L. ARTHUR is Associate Professor of Statistics at Oregon State University in Corvallis, where he has taught since 1977. He is the author or coauthor of several articles on the computational issues of optimization problems in statistics. He is a member of the Institute of Management Sciences and Operations Research Society of America. Professor Arthur received the Ph.D. degree (1977) in operations research and industrial engineering from Purdue University.

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