Prediction intervals for an ordered observation from the logistic distribution based on censored samples

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Title:	Prediction intervals for an ordered observation from the logistic distribution based on censored samples
Authors:	Tsong-Huey Wu Hai-Lin Lu
Contributors:	資訊管理系
Keywords:	Prediction intervals Order statistics Monte Carlo simulation Logistic distribution
Date:	2007-01
Issue Date:	2010-01-11 11:12:35 (UTC+8)
Abstract:	The logistic distribution is widely used in biostatistics and economics. In this paper, we provide some suitable pivotal quantities for constructing prediction intervals for the jth future-ordered observation from the two-parameter logistic distribution based on censored samples. Our method is more general in the sense that it can be applied to any data scheme. We present a simulation of our method to analyze its performance. Two illustrative examples are also included. For further study, our method is easily applied to other location and scale family distributions.
Relation:	Journal of Statistical Computation and Simulation 77(5) ： p.389-405
Appears in Collections:	[Dept. of Information Management] Periodical Articles

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