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Original Articles

Bayesian process monitoring schemes for the two-parameter exponential distribution

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Pages 1766-1797 | Received 17 Nov 2016, Accepted 06 Feb 2018, Published online: 06 Mar 2018

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Read on this site (2)

Zhi Lin Chong, Amitava Mukherjee & Marco Marozzi. (2024) Some two-sample tests for simultaneously comparing both parameters of the shifted exponential models. Communications in Statistics - Theory and Methods 53:2, pages 524-556.
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Mrunmayee Manjari Sahoo & Kanhu Charan Patra. (2020) River water quality modelling and simulation based on Markov Chain Monte Carlo computation and Bayesian inference model. African Journal of Science, Technology, Innovation and Development 12:6, pages 771-785.
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Articles from other publishers (4)

Amitava Mukherjee, Qi Li & Zhi Song. (2022) An assessment of the effect of using different mappings and Minkowski distances in joint monitoring of the time-between-event processes. Journal of Computational and Applied Mathematics 404, pages 113776.
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Ignacio Cascos. (2021) Simultaneous monitoring of origin and scale in left-bounded processes via depth. AStA Advances in Statistical Analysis 105:4, pages 649-673.
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Qi Li, Amitava Mukherjee, Zhi Song & Jiujun Zhang. (2021) Phase-II monitoring of exponentially distributed process based on Type-II censored data for a possible shift in location–scale. Journal of Computational and Applied Mathematics 389, pages 113315.
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Zhi Lin Chong, Amitava Mukherjee & Marco Marozzi. (2020) Simultaneous monitoring of origin and scale of a shifted exponential process with unknown and estimated parameters. Quality and Reliability Engineering International 37:1, pages 242-261.
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