Maximum Product Spacing Estimation of Weibull Distribution Under Adaptive Type-II Progressive Censoring Schemes

E. M. Almetwally (), H. M. Almongy (), M. K. Rastogi () and M. Ibrahim ()
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E. M. Almetwally: Delta University of Science and Technology
H. M. Almongy: Mansoura University
M. K. Rastogi: Patna University
M. Ibrahim: Damietta University

Annals of Data Science, 2020, vol. 7, issue 2, No 4, 257-279

Abstract: Abstract The adaptive type-II progressive censoring schemes of maximum product spacing will be discussed. This article discusses the estimation of the Weibull parameters using the maximum product spacing and the maximum likelihood estimation methods. We also discuss the construction of reliability estimation of adaptive type-II progressively censored reliability sampling schemes for the Weibull distribution to determine the optimal adaptive type-II progressive censoring schemes. The estimation is done under adaptive type-II progressive censored samples and a comparative study among the methods is made using Monte Carlo simulation. A real data is used to study the performance of the estimation process under this optimal scheme in practice.

Keywords: Weibull distribution; Maximum likelihood estimation; Maximum product spacing; Reliability estimation; Adaptive type-II progressive censoring (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (7)

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DOI: 10.1007/s40745-020-00261-5

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