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- W4231743374 abstract "Exact confidence intervals are currently obtainable for parameters, percentiles, and reliability in the two-parameter Weibull (or extreme-value) model with complete or type II censored data, but not when the data are progressively censored. This article proposes a simple approximation for this last case. The algorithm for computing confidence limits is a type of bootstrapping. The method is applicable to any model that is transformable to location-scale form and has invariant estimators. Both fixed and random censoring are discussed. A numerical example and some simulation results are given for Weibull confidence intervals based on maximum likelihood estimators." @default.
- W4231743374 created "2022-05-12" @default.
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- W4231743374 date "1983-05-01" @default.
- W4231743374 modified "2023-09-26" @default.
- W4231743374 title "Bootstrap Confidence Intervals in Location-Scale Models with Progressive Censoring" @default.
- W4231743374 doi "https://doi.org/10.2307/1268551" @default.
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