Электронная книга: Julius Kruopis «Nonparametric Tests for Complete Data»
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. Издательство: "John Wiley&Sons Limited"
ISBN: 9781118601600 электронная книга Купить за 13126.82 руб и скачать на Litres |
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Nonparametric Tests for Censored Data | 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… — John Wiley&Sons Limited, электронная книга Подробнее... | электронная книга |
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