UniCensor: Reproducible Random Samples Under Univariate Censoring Schemes
Generates reproducible random samples from any user-specified
univariate distribution under a comprehensive suite of censoring and
truncation schemes.
Users supply the probability density function (PDF),
cumulative distribution function (CDF), survival function, support bounds,
and parameters; the same seed and inputs yield identical samples across
sessions. Supported schemes include right and left truncation, random,
right, left, interval, and middle censoring, block random censoring,
balanced joint progressive Type-II (BJPT-II), progressive first failure,
joint Type-I, Type-I, Type-II, progressive Type-II, Type-II progressively
hybrid, joint Type-II, hybrid, hybrid Type-I, doubly Type-II, Type-I
hybrid, and hybrid Type-II censoring. Diagnostic histogram, dot plot, and
autocorrelation plots are provided for each scheme to verify distributional
behaviour.
Methods are described in
Nagar, Kumar, and Krishna (2026) <doi:10.59467/IJASS.2026.22.1>,
Goel, Kumar, and Krishna (2026, "Estimation in power Lindley distributions
using balanced joint progressively Type-II censored data"),
Wu and Kus (2009) <doi:10.1016/j.csda.2009.03.010>,
Goel and Krishna (2026) <doi:10.1007/s13198-026-03208-w>,
Balakrishnan and Aggarwala (2000, ISBN:978-1-4612-1334-5),
Mondal and Kundu (2020) <doi:10.1080/03610926.2018.1554128>,
Ding and Gui (2023) <doi:10.3390/math11092003>,
Prajapati, Mitra, and Kundu (2019) <doi:10.1007/s13571-018-0167-0>,
Yadav, Jaiswal, and Yadav (2026) <doi:10.1007/s11135-026-02647-8>,
Iyer, Jammalamadaka, and Kundu (2008) <doi:10.1016/j.jspi.2007.03.062>,
Banerjee and Kundu (2008) <doi:10.1109/TR.2008.916890>,
and Kundu and Joarder (2006) <doi:10.1016/j.csda.2005.05.002>.
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