Nonparametric Tests Of Independence And Goodness Of Fit For Censored Data
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Nonparametric Tests for Censored Data
Author: Vilijandas Bagdonavicius
language: en
Publisher: John Wiley & Sons
Release Date: 2013-02-07
This book concerns testing hypotheses in non-parametric models. Generalizations of many non-parametric tests to the case of censored and truncated data are considered. Most of the test results are proved and real applications are illustrated using examples. Theories and exercises are provided. The incorrect use of many tests applying most statistical software is highlighted and discussed.
Nonparametric Tests of Independence and Goodness-of-Fit for Censored Data
Two of the tests are developed using a result due to Moses (J. Amer. Statisti. Assoc. 59, (1964), 645-51) for uncensored data and its modification for the censored data. The other is an extension of the empty cell test to the censored case.