Chia Nan University of Pharmacy & Science Institutional Repository:Item 310902800/22168
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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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