<p>From the reviews:</p>
<p></p>
<p>"This interesting book provides a collection of theoretical exercises with solutions for instructors of graduate-level design of experiments classes. … The authors suggest that the book is suitable for graduate students of statistics and research workers. … This could be an interesting book for instructors of design and analysis of experiments classes looking to build their collection of available problems." (Christine M. Anderson-Cook, Journal of the American Statistical Association, Vol. 103 (481), 2008)</p>

This volume is a collection of exercises with their solutions in Design and Analysis of Experiments. At present there is not a single book which collects such exercises. Theseexercises have been collected by the authors during the last four decadesduring their student and teaching years. They should prove useful to graduate students and research workers in Statistics. In Chapter I, theoretical results that are needed for understanding the material in this book, are given. Chapter 2 lists the exercises which have been collected by the authors. The solutions of these problems are given in Chapter 3. Finally an index is provided for quick reference. Grateful appreciation for financial support for Dr. Kabe's research at St. Mary's University is extended to National Research Council of Canada and St. May's Uni­ versity Senate Research Committee. For his visit to the Department ofMathematics and Statistics the authors are thankful to the Bowling Green State University.
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Chapter 2 lists the exercises which have been collected by the authors. Grateful appreciation for financial support for Dr. Kabe's research at St. Mary's University is extended to National Research Council of Canada and St. May's Uni­ versity Senate Research Committee.
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Theoretical Results.- Exercises.- Solutions.
This volume provides a collection of exercises together with their solutions in design and analysis of experiments. The theoretical results, essential for understanding, are given first. These exercises have been collected during the authors teaching courses over a long period of time. These are particularly helpful to the students studying the design of experiments and instructors and researchers engaged in the teaching and research of design by experiment. D. G. Kabe retired as Professor of Statistics from St. Mary's University in Canada, having taught statistics and guided Ph.D. students there. Earlier he has been a faculty member at the Dalhousie University, Northern Michigan University, and Wayne State University. He is the author/co-author of more than two hundred research papers and two books. His research interests include design and analysis of experiments, and multivariate statistical analysis. Arjun K. Gupta is Distinguished University Professor and Professor of Mathematics and Statistics at Bowling Green State University, Bowling Green, Ohio. He has written more than 35 invited conferences, symposia, and journal papers and given more than 100 talks at national and international meetings during his 30-plus-year career. He is the co-author or co-editor of 12 books and has written more than 300 research articles. His main areas of interest include multivariate statistical analysis, distribution theory, and change point analysis. He is a Fellow of the American Statistical Association, the Institute of Statisticians, the Royal Statistical Society of England, and the Ohio Academy of Science, and an elected member of the International Statistical Institute.
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Provides a collection of exercises together with their solutions in design and analysis of experiments These exercises have been collected during the authors teaching courses over a long period of time
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GPSR Compliance The European Union's (EU) General Product Safety Regulation (GPSR) is a set of rules that requires consumer products to be safe and our obligations to ensure this. If you have any concerns about our products you can contact us on ProductSafety@springernature.com. In case Publisher is established outside the EU, the EU authorized representative is: Springer Nature Customer Service Center GmbH Europaplatz 3 69115 Heidelberg, Germany ProductSafety@springernature.com
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Produktdetaljer

ISBN
9780387338927
Publisert
2006-11-02
Utgiver
Vendor
Springer-Verlag New York Inc.
Høyde
235 mm
Bredde
155 mm
Aldersnivå
Research, UP, P, 05, 06
Språk
Product language
Engelsk
Format
Product format
Heftet

Om bidragsyterne

D. G. Kabe retired as Professor of Statistics from St. Mary's University in Canada, having taught statistics and guided Ph.D. students there. Earlier he has been a faculty member at the Dalhousie University, Northern Michigan University, and Wayne State University. He is the author/co-author of more than two hundred research papers and two books. His research interests include design and analysis of experiments, and multivariate statistical analysis.

Arjun K. Gupta is Distinguished University Professor and Professor of Mathematics and Statistics at Bowling Green State University, Bowling Green, Ohio. He has written more than 35 invited conferences, symposia, and journal papers and given more than 100 talks at national and international meetings during his 30-plus-year career. He is the co-author or co-editor of 12 books and has written more than 300 research articles. His main areas of interest include multivariate statistical analysis, distribution theory, and change point analysis. He is a Fellow of the American Statistical Association, the Institute of Statisticians, the Royal Statistical Society of England, and the Ohio Academy of Science, and an elected member of the International Statistical Institute.