Non-parametric Tests for Censored Data

✍ Scribed by Vilijandas Bagdonavicius, Julius Kruopis, Mikhail S. Nikulin(auth.)

Publisher: Wiley-ISTE
Year: 2010
Tongue: English
Leaves: 245
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

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.

Content:
Chapter 1 Censored and Truncated Data (pages 1–18):
Chapter 2 Chi?squared Tests (pages 19–62):
Chapter 3 Homogeneity Tests for Independent Populations (pages 63–104):
Chapter 4 Homogeneity Tests for Related Populations (pages 105–126):
Chapter 5 Goodness?of?fit for Regression Models (pages 127–175):

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