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

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...

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Veröffentlicht in:Annals of data science 2020-06, Vol.7 (2), p.257-279
Hauptverfasser: Almetwally, E. M., Almongy, H. M., Rastogi, M. K., Ibrahim, M.
Format: Artikel
Sprache:eng
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Zusammenfassung: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.
ISSN:2198-5804
2198-5812
DOI:10.1007/s40745-020-00261-5