Penalty, Shrinkage and Pretest Strategies: Variable Selection and Estimation

Penalty, Shrinkage and Pretest Strategies: Variable Selection and Estimation

by S. Ejaz Ahmed


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Product Details

ISBN-13: 9783319031484
Publisher: Springer International Publishing
Publication date: 12/11/2013
Series: SpringerBriefs in Statistics
Edition description: 2014
Pages: 115
Product dimensions: 6.10(w) x 9.25(h) x 0.01(d)

About the Author

Ejaz Ahmed is a Professor and Dean of the Faculty of Math and Science at Brock University. Prior to joining Brock, he was a professor and head of Mathematics at the University of Windsor and University of Regina, having previously held a faculty position at the University of Western Ontario. His areas of expertise include statistical inference, shrinkage estimation, high dimensional data and asymptotic theory. He has published over 135 articles in scientific journals, been thesis advisor of eleven Ph.D. students, held over 150 scholarly presentations and reviewed over 100 books. Further, he has authored/coauthored six books and served as a Board of Director and Chairman of the Education Committee of the Statistical Society of Canada and VP Communication for ISBIS. His research activities and work have been recognized in his election as a Fellow of the American Statistical Association, selection as member of an Evaluation Group, Discovery Grants and the Grant Selection Committee, Natural Sciences and Engineering Research Council of Canada, and by serving as an editor/associate editor of many statistical journals, including SPL and CSDA and as a book review editor for Technometrics.

Table of Contents

Preface.- Estimation Strategies.- Improved Estimation Strategies in Normal and Poisson Models.- Pooling Data: Making Sense or Folly.- Estimation Strategies in Multiple Regression Models.- Estimation Strategies in Partially Linear Models.- Estimation Strategies in Poisson Regression Models.

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