Nonparametric Prediction Intervals for Future Order Statistics in a Proportional Hazard Model

DOI10.1080/03610921003714147zbMath1216.62147OpenAlexW2049465634MaRDI QIDQ3015893

Jafar Ahmadi, Mostafa Razmkhah

Publication date: 13 July 2011

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610921003714147

zbMATH Keywords

extremesmultisampling plan

Mathematics Subject Classification ID

Inference from stochastic processes and prediction (62M20) Nonparametric tolerance and confidence regions (62G15) Order statistics; empirical distribution functions (62G30)

Related Items (2)

Comparison among non parametric prediction intervals of order statistics ⋮ Comparison of two sampling schemes for generating record-breaking data from the proportional hazard rate models

Cites Work

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• Asymptotic linear prediction of extreme order statistics
• Maximum likelihood prediction
• One–sided simulataneous prediction intervals for the order statistics of a future samples from an exponential distribution
• Nonparametric Confidence Intervals and Tolerance Limits Based on Minima and Maxima
• Prediction Intervals for the Two Parameter Exponential Distribution
• Order Statistics
• Bayesian prediction based on generalized order statistics using multiply type-II censoring

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