| 書目名稱 | Non-Regular Statistical Estimation |
| 編輯 | Masafumi Akahira,Kei Takeuchi |
| 視頻video | http://file.papertrans.cn/668/667014/667014.mp4 |
| 叢書名稱 | Lecture Notes in Statistics |
| 圖書封面 |  |
| 描述 | In order to obtain many of the classical results in the theory of statistical estimation, it is usual to impose regularity conditions on the distributions under consideration. In small sample and large sample theories of estimation there are well established sets of regularity conditions, and it is worth while to examine what may follow if any one of these regularity conditions fail to hold. "Non-regular estimation" literally means the theory of statistical estimation when some or other of the regularity conditions fail to hold. In this monograph, the authors present a systematic study of the meaning and implications of regularity conditions, and show how the relaxation of such conditions can often lead to surprising conclusions. Their emphasis is on considering small sample results and to show how pathological examples may be considered in this broader framework. |
| 出版日期 | Book 1995 |
| 關鍵詞 | Estimator; Lemma; Likelihood; Variance; distribution; form; framework; information; minimum; probability; proo |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-1-4612-2554-6 |
| isbn_softcover | 978-0-387-94578-1 |
| isbn_ebook | 978-1-4612-2554-6Series ISSN 0930-0325 Series E-ISSN 2197-7186 |
| issn_series | 0930-0325 |
| copyright | Springer-Verlag New York, Inc. 1995 |
|Archiver|手機版|小黑屋|
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