Modern Mathematical Statistics with Applications (3rd Ed., 3rd ed. 2021) Springer Texts in Statistics Series
Auteurs : Devore Jay L., Berk Kenneth N., Carlton Matthew A.
- 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
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 (w
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
Date de parution : 04-2022
Ouvrage de 975 p.
17.8x25.4 cm
Date de parution : 04-2021
Ouvrage de 975 p.
17.8x25.4 cm