| 书目名称 | Modern Mathematical Statistics with Applications |
| 编辑 | Jay L. Devore,Kenneth N. Berk |
| 视频video | |
| 概述 | 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 soc |
| 丛书名称 | Springer Texts in Statistics |
| 图书封面 |  |
| 描述 | .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 prob |
| 出版日期 | Textbook 20122nd edition |
| 关键词 | Descriptive statistics; Inference; Point estimation; Probability; Regression and correlation |
| 版次 | 2 |
| doi | https://doi.org/10.1007/978-1-4614-0391-3 |
| isbn_ebook | 978-1-4614-0391-3Series ISSN 1431-875X Series E-ISSN 2197-4136 |
| issn_series | 1431-875X |
| copyright | Springer Science+Business Media, LLC, part of Springer Nature 2012 |
发表于 2025-3-21 19:28:53
