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  "Title": "Goodness-of-Fit Tests for Type-II Censored Samples via the\nMalmquist Transformation",
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  "Description": "Goodness-of-fit tests for an arbitrary user-specified\ncontinuous distribution under Type-II right- or left-censoring.\nImplements the transformation-based method of Lin, Huang and\nBalakrishnan (2008) <doi:10.1109/TR.2008.2005860>, which uses a\nproperty of order statistics due to Malmquist (1950) to convert\nan r-out-of-n Type-II censored uniform sample into a complete\nsample of size r, alongside the earlier transformation of\nMichael and Schucany (1979)\n<doi:10.1080/00401706.1979.10489813>. Also implements the\ndirect (untransformed) censored-sample statistics of Barr and\nDavidson (1973) <doi:10.1080/00401706.1973.10489108> and\nPettitt and Stephens (1976) <doi:10.1093/biomet/63.2.291>, and\nthe modified-statistic maximum-likelihood procedure of Chen and\nBalakrishnan (1995) for testing composite hypotheses. General\nbackground on empirical-distribution-function goodness-of-fit\nmethods follows D'Agostino and Stephens (1986,\nISBN:982-0-8247-7487-5).",
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