Modern Mathematical Statistics with Applications by Jay L Devore

Modern Mathematical Statistics with Applications by Jay L Devore

Modern Mathematical Statistics with Applications, Second Edition strikes a balance between mathematical foundations and statistical practice.

From the book reviews:

“The text by Devore and Berk is a worthy entry into the collection of texts designed for the typical undergraduate mathematical statistics course… there is more than enough material in the book for a one-year course. … the book would be a very solid choice for a year-long mathematical statistics course.” (R. T. Smythe, Mathematical Reviews, December, 2014)

"The authors made a good revision in this edition. The format is standard, however it showcases many statistical ideas in a clear manner, for a smooth grasp of the material. The chapters are well structured, presented, and motivated. The main strength of the book is that it still offers a good number of worked examples that are based on real datasets emerging from a variety of fields. It is a good candidate for adoption as a textbook for a senior level undergraduate course." (Ahmed, Technometrics, November, 2014)

Jay Devore received a B.S. in Engineering Science from the University of California, Berkeley, and a Ph.D. in Statistics from Stanford University. He previously taught at the University of Florida and Oberlin College, and has had visiting positions at Stanford, Harvard, the University of Washington, New York University, and Columbia. He has been at California Polytechnic State University, San Luis Obispo, since 1977, where he was chair of the Department of Statistics for seven years and recently achieved the exalted status of Professor Emeritus.

Jay has previously authored or coauthored five other books, including Probability and Statistics for Engineering and the Sciences, which won a McGuffey Longevity Award from the Text and Academic Authors Association for demonstrated excellence over time . He is a Fellow of the American Statistical Association, has been an associate editor for both the Journal of the American Statistical Association and The American Statistician, and received the Distinguished Teaching Award from Cal Poly in 1991. His recreational interests include reading, playing tennis, traveling, and cooking and eating good food.

Ken Berk has a B.S. in Physics from Carnegie Tech (now Carnegie Mellon) and a Ph.D. in Mathematics from the University of Minnesota. He is Professor Emeritus of Mathematics at Illinois State University and a Fellow of the American Statistical As­sociation. He founded the Software Reviews section of The American Statistician and edited it for six years. He served as secretary/treasurer, program chair, and chair of the Statistical Computing Section of the American Statistical Association, and he twice co-chaired the Interface Symposium, the main annual meeting in statistical computing. His published work includes papers on time series, statistical computing, regression analysis, and statistical graphics, as well as the book Data Analysis with Microsoft Excel (with Patrick Carey).

SKU	Unavailable
ISBN 13	9781461403906
ISBN 10	1461403901
Title	Modern Mathematical Statistics with Applications
Author	Jay L Devore
Series	Springer Texts In Statistics
Condition	Unavailable
Binding Type	Hardback
Publisher	Springer-Verlag New York Inc.
Year published	2011-12-06
Number of pages	845
Cover note	Book picture is for illustrative purposes only, actual binding, cover or edition may vary.