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Original Articles

Likelihood Testing With Censored and Missing Duration Data

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Pages 2-22 | Received 28 Sep 2012, Accepted 21 May 2014, Published online: 15 Jul 2014

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Vlad Stefan Barbu, Alex Karagrigoriou & Andreas Makrides. (2020) Statistical inference for a general class of distributions with time-varying parameters. Journal of Applied Statistics 47:13-15, pages 2354-2373.
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Benjamin Riedle, Andrew A. Neath & Joseph E. Cavanaugh. (2020) Reconceptualizing the p-value from a likelihood ratio test: a probabilistic pairwise comparison of models based on Kullback-Leibler discrepancy measures. Journal of Applied Statistics 47:13-15, pages 2582-2609.
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F. J. Marques & C. A. Coelho. (2020) Testing simultaneously different covariance block diagonal structures – the multi-sample case. Journal of Applied Statistics 47:13-15, pages 2765-2784.
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Articles from other publishers (5)

Danilo Gilberto de Oliveira Valadares, Roberto C. Quinino, Frederico R. B. Cruz & Linda Lee Ho. (2023) Repairable System Analysis Using the Discrete Weibull Distribution. IEEE Transactions on Reliability 72:4, pages 1507-1514.
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Garima Sharma & Rajiv Nandan Rai. (2021) Failure modes based censored data analysis for repairable systems and its industrial perspective. Computers & Industrial Engineering 158, pages 107439.
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Mahmood Kharrati-Kopaei & Ahad Malekzadeh. (2019) On the exact distribution of the likelihood ratio test for testing the homogeneity of scale parameters of several two-parameter exponential distributions: complete and censored samples. Metrika 82:4, pages 409-427.
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Wujun Si, Qingyu Yang, Leslie Monplaisir & Yong Chen. (2018) Reliability Analysis of Repairable Systems With Incomplete Failure Time Data. IEEE Transactions on Reliability 67:3, pages 1043-1059.
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Raúl Fierro & Víctor Leiva. (2016) A stochastic methodology for risk assessment of a large earthquake when a long time has elapsed. Stochastic Environmental Research and Risk Assessment 31:9, pages 2327-2336.
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