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- W3096106103 abstract "The linear least-squares method has been applied to Weibull distribution for analysing the reliability, and the exact confidence intervals for Weibull parameters can be constructed from both Type-I and Type-II censored data. However, this method changes the shape of theoretical linear fit and estimates are highly biased for heavily censored data. Therefore, the nonlinear method (NLLSM) and transformation-based least-squares methods (TBLSM) are proposed in the literature. In this paper, I address confidence intervals for Weibull parameters based on the two methods and discuss the reliability and remaining lifetime with the right censored data. I propose the exact confidence intervals from pivotal quantities for the Weibull parameters based on NSLLM and approximate ones based on TBLLM. Further, different methods are compared through a Monte Carlo simulation study. Finally, these methods are applied to a data set as an illustrative example." @default.
- W3096106103 created "2020-11-09" @default.
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- W3096106103 date "2020-11-02" @default.
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- W3096106103 title "A comparison of different least-squares methods for reliability of Weibull distribution based on right censored data" @default.
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- W3096106103 doi "https://doi.org/10.1080/00949655.2020.1839466" @default.
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