Overview
- Features an extensive range of real-world and relevant applications to connect students to the concepts and theory, making the volume useful for quantitative courses in a wide variety of majors (business, mathematics, statistics, social sciences, sciences, and engineering, among others)
- Includes updates on the latest methods in statistical practice, as well as the latest in statistical software packages, in this new edition
- Includes sample syllabi for one- and two-term courses in mathematical statistics, which serve as guides for instructors in smoothly adjusting to a new text
- Includes supplementary material: sn.pub/extras
- Request lecturer material: sn.pub/lecturer-material
Part of the book series: Springer Texts in Statistics (STS)
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Table of contents (15 chapters)
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Front Matter
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Back Matter
Keywords
About this book
- Use of the “Big Mac index” by the publication The Economist as a humorous way to compare product costs across nations
- Visualizing how the concentration of lead levels in cartridges varies for each of five brands of e-cigarettes
- Describing the distribution of grip size among surgeons and how it impacts their ability to use a particular brand of surgical stapler
- Estimating the true average odometer reading of used Porsche Boxsters listed for sale on www.cars.com
- Comparing head acceleration after impact when wearing a football helmet with acceleration without a helmet
- Investigating the relationship between body mass index and foot load while running
Reviews
Authors and Affiliations
About the authors
Jay L. 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.
Kenneth N. 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).
Matthew A. Carlton is Professor of Statistics at California Polytechnic State University, San Luis Obispo, where he joined the faculty in 1999. He received a B.A. in Mathematics from the University of California, Berkeley and a Ph.D. in Mathematics from the University of California, Los Angeles, with an emphasis on pure and applied probability; his thesis research involved applications of the Poisson-Dirichlet random process. Matt has published papers in the Journal of Applied Probability, Human Biology, Journal of Statistics Education, and The American Statistician. He was also the lead content adviser for the “Statistically Speaking” video series, designed for community college statistics courses, and he has published a variety of educational materials for high school statistics teachers. Matt was responsible for developing both the applied probability course and the probability and random processes course at Cal Poly, which in turn inspired him to get involved in writing this text. His professional research focus involves applications of probability to genetics and engineering. Personal interests include travel, good wine, and college sports.
Bibliographic Information
Book Title: Modern Mathematical Statistics with Applications
Authors: Jay L. Devore, Kenneth N. Berk, Matthew A. Carlton
Series Title: Springer Texts in Statistics
DOI: https://doi.org/10.1007/978-3-030-55156-8
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021
Hardcover ISBN: 978-3-030-55155-1Published: 30 April 2021
Softcover ISBN: 978-3-030-55158-2Published: 30 April 2022
eBook ISBN: 978-3-030-55156-8Published: 29 April 2021
Series ISSN: 1431-875X
Series E-ISSN: 2197-4136
Edition Number: 3
Number of Pages: XII, 975
Number of Illustrations: 119 b/w illustrations, 211 illustrations in colour
Topics: Statistical Theory and Methods, Statistics for Business, Management, Economics, Finance, Insurance