gofmalm: Goodness-of-Fit Tests for Type-II Censored Samples via the
Malmquist Transformation
Goodness-of-fit tests for an arbitrary user-specified continuous
distribution under Type-II right- or left-censoring. Implements the
transformation-based method of Lin, Huang and Balakrishnan (2008)
<doi:10.1109/TR.2008.2005860>, which uses a property of order statistics
due to Malmquist (1950) to convert an r-out-of-n Type-II censored uniform
sample into a complete sample of size r, alongside the earlier
transformation of Michael and Schucany (1979)
<doi:10.1080/00401706.1979.10489813>. Also implements the direct
(untransformed) censored-sample statistics of Barr and Davidson (1973)
<doi:10.1080/00401706.1973.10489108> and Pettitt and Stephens (1976)
<doi:10.1093/biomet/63.2.291>, and the modified-statistic
maximum-likelihood procedure of Chen and Balakrishnan (1995) for testing
composite hypotheses. General background on empirical-distribution-function
goodness-of-fit methods follows D'Agostino and Stephens (1986,
ISBN:982-0-8247-7487-5).
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[aut, cre],
Arvind Pandey [aut],
Bhupendra Singh [aut],
Vrijesh Tripathi [aut]