Interval estimation of parameters of log-gamma distribution based on progressively censored data

淡江大學機構典藏 > 理學院 > 數學學系暨研究所 > 期刊論文 > Item 987654321/41197

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题名:	Interval estimation of parameters of log-gamma distribution based on progressively censored data
作者:	林千代;Lin, Chien-tai;吳正新;Wu, S. J. S.;Balakrishnan, N.
贡献者:	淡江大學數學學系
关键词:	Ancillary statistics;Conditional inference;Monte carlo simulations;Pivotal quantities
日期:	2004-11
上传时间:	2010-01-28 06:54:42 (UTC+8)
出版者:	Taylor & Francis
摘要:	A conditional method of inference is used to derive confidence intervals for the location and scale parameters as well as the quantiles and the reliability function of the log-gamma distribution when the data are progressively Type-II censored. The method is then compared to the unconditional method of constructing confidence intervals for these parameters. Finally, we illustrate all the methods of inference discussed in this paper with a numerical example.
關聯:	Communications in Statistics: Theory and Methods 33(11), pp.2595-2626
DOI:	10.1081/STA-200037898
显示于类别:	[數學學系暨研究所] 期刊論文

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