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Article
Prediction Bounds for the Weibull Distribution
InterStat
  • Ananda Amarasekara Jayawardhana
  • V. A. Samaranayake, Missouri University of Science and Technology
Abstract

An approximate method for constructing prediction limits for a future Weibull observation, based on the Maximum Likelihood Predictive Density approach proposed by Lejeune and Faulkenberry (1982), is derived. It is proposed as a simple and versatile alternative to existing methods, with prediction bounds given by easily computable closed form expressions. the proposed procedure can be adapted to obtaining both upper and lower prediction bounds under either Type I or Type II censoring schemes. Results of a Monte Carlo simulation study that compares the coverage probabilities of the proposed method and several modified versions are given. It is shown that the proposed method provides close to nominal coverage probabilities in many instances and the modified versions can be used in its place in situations where its coverage is liberal.

Department(s)
Mathematics and Statistics
Keywords and Phrases
  • Weibull distribution,
  • maximum likelihood predictive density,
  • prediction limits,
  • profile likelihood,
  • type I censoring,
  • type II censoring
Document Type
Article - Journal
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2004 Virginia Polytechnic Institute and State University, All rights reserved.
Publication Date
1-1-2004
Publication Date
01 Jan 2004
Citation Information
Ananda Amarasekara Jayawardhana and V. A. Samaranayake. "Prediction Bounds for the Weibull Distribution" InterStat (2004)
Available at: http://works.bepress.com/httpswwwpvamuedubcasdepartmentschemistryfaculty-and-staffasamarasekara/92/