Springer Texts in Statistics

Modern Mathematical Statistics with Applications

Authors: Devore, Jay L., Berk, Kenneth N.

  • An extensive range of applications that will appeal to a wide audience, including mathematics and statistics majors, prospective engineers and scientists, and business, economics, and quantitative social science students
  • Nearly 1,500 exercises to help students master the material and better understand sophisticated concepts and arguments
  • An emphasis on the importance of statistical software, including output from the statistical software packages Minitab, R, and SAS.
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eBook $89.00
price for USA (gross)
  • ISBN 978-1-4614-0391-3
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $119.00
price for USA
  • ISBN 978-1-4614-0390-6
  • with online files
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $119.00
price for USA
  • ISBN 978-1-4939-4221-3
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Rent the eBook  
  • Rental duration: 1 or 6 month
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  • online reader with highlighting and note-making option
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About this Textbook

Modern Mathematical Statistics with Applications, Second Edition strikes a balance between mathematical foundations and statistical practice. In keeping with the recommendation that every math student should study statistics and probability with an emphasis on data analysis, accomplished authors Jay Devore and Kenneth Berk make statistical concepts and methods clear and relevant through careful explanations and a broad range of applications involving real data.

The main focus of the book is on presenting and illustrating methods of inferential statistics that are useful in research. It begins with a chapter on descriptive statistics that immediately exposes the reader to real data. The next six chapters develop the probability material that bridges the gap between descriptive and inferential statistics.  Point estimation, inferences based on statistical intervals, and hypothesis testing are then introduced in the next three chapters. The remainder of the book explores the use of this methodology in a variety of more complex settings.

This edition includes a plethora of new exercises, a number of which are similar to what would be encountered on the actuarial exams that cover probability and statistics. Representative applications include investigating whether the average tip percentage in a particular restaurant exceeds the standard 15%, considering whether the flavor and aroma of Champagne are affected by bottle temperature or type of pour, modeling the relationship between college graduation rate and average SAT score, and assessing the likelihood of O-ring failure in space shuttle launches as related to launch temperature.

About the authors

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).

Reviews

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)


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Table of contents (14 chapters)

  • Overview and Descriptive Statistics

    Devore, Jay L. (et al.)

    Pages 1-49

  • Probability

    Devore, Jay L. (et al.)

    Pages 50-95

  • Discrete Random Variables and Probability Distributions

    Devore, Jay L. (et al.)

    Pages 96-157

  • Continuous Random Variables and Probability Distributions

    Devore, Jay L. (et al.)

    Pages 158-231

  • Joint Probability Distributions

    Devore, Jay L. (et al.)

    Pages 232-283

Buy this book

eBook $89.00
price for USA (gross)
  • ISBN 978-1-4614-0391-3
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $119.00
price for USA
  • ISBN 978-1-4614-0390-6
  • with online files
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $119.00
price for USA
  • ISBN 978-1-4939-4221-3
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Rent the eBook  
  • Rental duration: 1 or 6 month
  • low-cost access
  • online reader with highlighting and note-making option
  • can be used across all devices
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Bibliographic Information

Bibliographic Information
Book Title
Modern Mathematical Statistics with Applications
Authors
Series Title
Springer Texts in Statistics
Copyright
2012
Publisher
Springer-Verlag New York
Copyright Holder
Springer Science+Business Media, LLC
eBook ISBN
978-1-4614-0391-3
DOI
10.1007/978-1-4614-0391-3
Hardcover ISBN
978-1-4614-0390-6
Softcover ISBN
978-1-4939-4221-3
Series ISSN
1431-875X
Edition Number
2
Number of Pages
XII, 845
Number of Illustrations and Tables
237 illustrations in colour
Topics