Progressive Censoring: Theory, Methods, and Applications

By Narayanaswamy Balakrishnan, R. Aggarwala. 2000

1,101 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/051a10df767340dd8e519fb55ca20b705011e3a8

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1. Debasis Kundu
2. Biswabrata Pradhan
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Citations in the corpus

• Analysis of Type-II progressively hybrid censored data (2006, methodology): “For further details on Type-II progressive censoring and for its different advantages, the readers may refer to the recent excellent monograph of Balakrishnan and Aggarwala [1].”
• Bayesian analysis of progressively censored competing risks data (2011, background): “In the last few years finding the “optimum” censoring scheme has received considerable attention in the recent statistical literature, see for example Balakrishnan and Aggarwala [2] (Chapter 10), Ng et al.”
• Bayesian inference for Rayleigh distribution under progressive censored sample (2006, methodology): “; rmÞ: The joint probability density function of all m progressively type II censored order statistics is given by Balakrishnan and Aggarwala [12]”
• Maximum product spacings method for the estimation of parameters of generalized inverted exponential distribution under Progressive Type II Censoring (2016, methodology): “[24] Lin, C.T., Duran, B.S., Lewis, T.O. (1989) Inverted gamma as life distribution, Microelectron Reliab.”
• Estimation of parameters of Weibull–Gamma distribution based on progressively censored data (2018, methodology): “Many authors have discussed inference under progressive type-II censored using different lifetime distributions, see for example, Basak et al. (2009), Kim et al. (2011), Ng et al.”
• Reliability estimation in a multicomponent stress-strength model for unit Burr III distribution under progressive censoring (2020, unknown): “We refer to Balakrishnan & Aggarwala (2000) for further details and applications of progressive censoring in life testing experiments.”
• Generalized inverted exponential distribution under progressive first-failure censoring (2016, methodology): “[11] An excellent monograph on progressive censoring is given by Balakrishnan and Aggarwala.”
• ESTIMATIONS OF THE PARAMETERS OF THE WEIBULL DISTRIBUTION WITH PROGRESSIVELY CENSORED DATA (2002, methodology): “…for the Weibull distribution under progressive type-II censoring has been investigated by several authors such as Mann (1969) (1971), Cohen (1975), Cacciari and Montanari (1987), Wong (1993), Viveros and Balakrishnan (1994), Balasooriya et al. (2000), and Balakrishnan and Aggarwala (2000).”
• Bayesian and maximum likelihood estimations of the inverse Weibull parameters under progressive type-II censoring (2014, background): “For more details, see Balakrishnan and Aggarwala [12].”