Nonparametric Tests for Censored Data

by Vilijandas Bagdonavicius, Julius Kruopis, Mikhail Nikulin

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.

233 pages, Kindle Edition

First published November 1, 2010