Representative points of statistical distributions applications in statistical inference / Kai-Tai Fang, Huajun Ye, Yongdao Zhou.
| Author/creator | Fang, Kaitai |
| Other author | Ye, Huajun |
| Other author | Zhou, Yongdao |
| Format | Electronic |
| Edition | First edition. |
| Publication Info | Boca Raton, FL : CRC Press, 2025. |
| Description | pages cm |
| Supplemental Content | Full text available from eBooks on EBSCOhost |
| Subjects |
| Abstract | "Statistical simulation has become a cornerstone in both statistical research and applications, particularly through the Monte Carlo (MC) method. One of the pioneering resampling techniques is the bootstrap method. This book explores the use of simulation to construct approximate distributions via representative points. Resampling from these approximate distributions offers benefits in terms of consistency and efficiency. The book compiles recent advancements and reviews various types of representative points, along with their applications in statistical inference and simulation"-- Provided by publisher. |
| Bibliography note | Includes bibliographical references and index. |
| Access restriction | Available only to authorized users. |
| Technical details | Mode of access: World Wide Web |
| Genre/form | Electronic books. |
| LCCN | 2024059566 |
| ISBN | 9781032964119 hardback |
| ISBN | 9781032964157 paperback |
| ISBN | ebook |
Availability
| Library | Location | Call Number | Status | Item Actions |
|---|---|---|---|---|
| Electronic Resources | Access Content Online | ✔ Available |