/LC.GIF&client=easterncarolinaedu)
Essential statistical inference theory and methods / Dennis D. Boos, L.A. Stefanski.
| Author/creator | Boos, Dennis D., 1948- |
| Other author | Stefanski, L. A. |
| Format | Electronic |
| Publication Info | New York : Springer, |
| Description | xvii, 568 p. : ill. ; 24 cm. |
| Supplemental Content | Full text available from Springer Books |
| Supplemental Content | Full text available from Springer Nature - Springer Mathematics and Statistics eBooks 2013 English International |
| Subjects |
| Series | Springer texts in statistics, 1431-875X Springer texts in statistics. |
| Abstract | "This book is for students and researchers who have had a first year graduate level mathematical statistics course. It covers classical likelihood, Bayesian, and permutation inference; an introduction to basic asymptotic distribution theory; and modern topics like M-estimation, the jackknife, and the bootstrap. R code is woven throughout the text, and there are a large number of examples and problems. An important goal has been to make the topics accessible to a wide audience, with little overt reliance on measure theory"-- Provided by publisher. |
| Bibliography note | Includes bibliographical references (p. 535-547) and indexes. |
| Access restriction | Available only to authorized users. |
| Technical details | Mode of access: World Wide Web |
| Genre/form | Electronic books. |
| LCCN | 2012949516 |
| ISBN | 9781461448174 (hdbk.) |
| ISBN | 1461448174 (hdbk.) |
Availability
| Library | Location | Call Number | Status | Item Actions |
|---|---|---|---|---|
| Electronic Resources | ✔ Available |