Nonparametric Tests for Censored Data (ePub)
(Sprache: Englisch)
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...
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...
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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.
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.
Autoren-Porträt von Vilijandas Bagdonavièus, Julius Kruopis, Mikhail Nikulin
Vilijandas Bagdonavicius is Professor of Mathematics at the University of Vilnius in Lithuania. His main research areas are statistics, reliability and survival analysis.Julius Kruopis is Associate Professor of Mathematics at the University of Vilnius in Lithuania. His main research areas are statistics and quality control.
Mikhail S. Nikulin is a member of the Institute of Mathematics in Bordeaux, France.
Bibliographische Angaben
- Autoren: Vilijandas Bagdonavièus , Julius Kruopis , Mikhail Nikulin
- 2013, 1. Auflage, 234 Seiten, Englisch
- Verlag: John Wiley & Sons
- ISBN-10: 1118602137
- ISBN-13: 9781118602133
- Erscheinungsdatum: 07.02.2013
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- Dateiformat: ePub
- Größe: 4.43 MB
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Sprache:
Englisch
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