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Original Articles

Inference based on progressive Type I interval censored data from log-normal distribution

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Pages 6495-6512 | Received 11 Aug 2015, Accepted 23 Jun 2016, Published online: 13 Apr 2017

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Arturo J. Fernández. (2023) Optimum lot inspection based on lognormal reliability tests. International Journal of Production Research 61:5, pages 1424-1435.
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M. S. Panwar, Vikas Barnwal & C. P. Yadav. (2024) A latent variable approach for modeling recall-based time-to-event data with Weibull distribution. Computational Statistics 39:4, pages 2343-2374.
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Soumya Roy & Biswabrata Pradhan. (2022) Inference for log‐location‐scale family of distributions under competing risks with progressive type‐I interval censored data. Statistica Neerlandica 77:2, pages 208-232.
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Ashis Kumar Chakraborty, E. V. Gijo, Anisha Das & Moutushi Chatterjee. 2023. Springer Handbook of Engineering Statistics. Springer Handbook of Engineering Statistics 415 442 .
Soumya Roy, Biswabrata Pradhan & Annesha Purakayastha. (2021) On inference and design under progressive type-I interval censoring scheme for inverse Gaussian lifetime model. International Journal of Quality & Reliability Management 39:8, pages 1937-1962.
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Soumya Roy & Biswabrata Pradhan. (2019) Bayesian C-optimal life testing plans under progressive type-I interval censoring scheme. Applied Mathematical Modelling 70, pages 299-314.
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Yanhe Cui & Jun Yang. (2018) Interval Estimation of Process Capability Indices Based on the Weibull Distributed Quality Data of Supplier Products. Interval Estimation of Process Capability Indices Based on the Weibull Distributed Quality Data of Supplier Products.

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