Nonparametric Tests for Complete Data

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9781848212695: 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.

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Book Description ISTE Ltd and John Wiley Sons Inc, United Kingdom, 2011. Hardback. Book Condition: New. 1. Auflage. Language: English . Brand New Book. 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. Bookseller Inventory # AAH9781848212695

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Book Description ISTE Ltd and John Wiley Sons Inc, United Kingdom, 2011. Hardback. Book Condition: New. 1. Auflage. Language: English . Brand New Book. 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. Bookseller Inventory # AAH9781848212695

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Book Description ISTE Ltd and John Wiley Sons Inc, United Kingdom, 2011. Hardback. Book Condition: New. 1. Auflage. Language: English . This book usually ship within 10-15 business days and we will endeavor to dispatch orders quicker than this where possible. Brand New Book. 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. Bookseller Inventory # BZV9781848212695

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