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 i
Non-parametric Tests for Complete Data
β Scribed by Vilijandas Bagdonavicius, Kruopis Julius, Mikhail S. Nikulin(auth.)
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β¦ Synopsis
Content:
Chapter 1 Introduction (pages 1β16):
Chapter 2 Chi?Squared Tests (pages 17β75):
Chapter 3 Goodness?of?fit Tests Based on Empirical Processes (pages 77β110):
Chapter 4 Rank Tests (pages 111β214):
Chapter 5 Other Non?parametric Tests (pages 215β273):
Chapter A Parametric Maximum Likelihood Estimators (pages 275β280):
Chapter B Notions from the Theory of Stochastic Processes (pages 281β292):
π SIMILAR VOLUMES
This book concerns testing hypotheses in non-parametric models. Classical non-parametric tests (goodness-of-fit, homogeneity, randomness, independence) of complete data are considered. Most of the test results are proved and real applications are illustrated using examples. Theories and exercises ar
Wiley. 2011 - 320 pages. ISBN: 1848212690, 978-1848212695.<br/>This book concerns testing hypotheses in nonβparametric models. Classical nonβparametric tests (goodnessβofβfit, homogeneity, randomness, independence) of complete data are considered. Most of the test results are proved and real applica
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