| 书目名称 | Modern Concepts and Theorems of Mathematical Statistics | | 编辑 | Edward B. Manoukian | | 视频video | | | 丛书名称 | Springer Series in Statistics | | 图书封面 |  | | 描述 | With the rapid progress and development of mathematical statistical methods, it is becoming more and more important for the student, the in structor, and the researcher in this field to have at their disposal a quick, comprehensive, and compact reference source on a very wide range of the field of modern mathematical statistics. This book is an attempt to fulfill this need and is encyclopedic in nature. It is a useful reference for almost every learner involved with mathematical statistics at any level, and may supple ment any textbook on the subject. As the primary audience of this book, we have in mind the beginning busy graduate student who finds it difficult to master basic modern concepts by an examination of a limited number of existing textbooks. To make the book more accessible to a wide range of readers I have kept the mathematical language at a level suitable for those who have had only an introductory undergraduate course on probability and statistics, and basic courses in calculus and linear algebra. No sacrifice, how ever, is made to dispense with rigor. In stating theorems I have not always done so under the weakest possible conditions. This allows the reader to re | | 出版日期 | Book 1986 | | 关键词 | Estimator; Likelihood; Median; Random variable; Statistics; Theorems; Variance; best fit; correlation; mathem | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-4612-4856-9 | | isbn_softcover | 978-1-4612-9332-3 | | isbn_ebook | 978-1-4612-4856-9Series ISSN 0172-7397 Series E-ISSN 2197-568X | | issn_series | 0172-7397 | | copyright | Springer-Verlag New York Inc. 1986 |
The information of publication is updating
|
|
发表于 2025-3-21 18:12:39
