| 書(shū)目名稱(chēng) | Unbiased Estimators and Their Applications | | 副標(biāo)題 | Volume 1: Univariate | | 編輯 | V. G. Voinov,M. S. Nikulin | | 視頻video | http://file.papertrans.cn/942/941048/941048.mp4 | | 叢書(shū)名稱(chēng) | Mathematics and Its Applications | | 圖書(shū)封面 |  | | 描述 | Statistical inferential methods are widely used in the study ofvarious physical, biological, social, and other phenomena. Parametricestimation is one such method. Although there are many books whichconsider problems of statistical point estimation, this volume is thefirst to be devoted solely to the problem of unbiased estimation. Itcontains three chapters dealing, respectively, with the theory ofpoint statistical estimation, techniques for constructing unbiasedestimators, and applications of unbiased estimation theory. Thesechapters are followed by a comprehensive appendix which classifies andlists, in the form of tables, all known results relating to unbiasedestimators of parameters for univariate distributions. About onethousand minimum variance unbiased estimators are listed. The volumealso contains numerous examples and exercises..This volume will serve as a handbook on point unbiased estimation forresearchers whose work involves statistics. It can also be recommendedas a supplementary text for graduate students.. | | 出版日期 | Book 1993 | | 關(guān)鍵詞 | Estimator; Variance; distribution; minimum; statistics | | 版次 | 1 | | doi | https://doi.org/10.1007/978-94-011-1970-2 | | isbn_softcover | 978-94-010-4870-5 | | isbn_ebook | 978-94-011-1970-2 | | copyright | Springer Science+Business Media Dordrecht 1993 |
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