統計模型參數和之估計; Estimator for the sum of Parameters Based on Statistical Models

Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/7809

Title:	統計模型參數和之估計;Estimator for the sum of Parameters Based on Statistical Models
Authors:	楊鴻裕;Hung-Yu Yang
Contributors:	數學研究所
Keywords:	間接估計;參數和;Bayes估計;m.l.e;直接估計;Pitman測度;均方差;mean square error or Pitman measure of closenes;estimated directly and indirectly;the sum of Parameters;m.l.e and Bayes estimators
Date:	2002-06-05
Issue Date:	2009-09-22 11:06:00 (UTC+8)
Publisher:	國立中央大學圖書館
Abstract:	本文以常態分佈，指數分佈，柯西分佈，均勻分佈為例，考慮m.l.e 及Bayes估計，說明參數和可以直接估計也可以間接估計，我們比較直接估計及間接估計之優劣，比較標準為均方差或Pitman測度。 The sum of parameters of normal,exponential,Cauchy and uniform distributions can be estimated directly and indirectly. We compare these two estimation methods based on mean square error or Pitman measure of closeness. The estimators considered includes m.l.e and Bayes estimators.
Appears in Collections:	[Graduate Institute of Mathematics] Electronic Thesis & Dissertation

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