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
Nonparametric tests for complete data
✍ Scribed by Bagdonavicius V., Kruopis J., Nikulin M.
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✦ Synopsis
Wiley. 2011 - 320 pages. ISBN: 1848212690, 978-1848212695.
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 are provided. The incorrect use of many tests applying most statistical software is highlighted and discussed.
✦ Subjects
Математика;Теория вероятностей и математическая статистика;Обработка результатов измерений
📜 SIMILAR VOLUMES
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
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