Verlag: ISTE Ltd and John Wiley & Sons Inc, London, 2010
ISBN 10: 1848212690 ISBN 13: 9781848212695
Sprache: Englisch
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In den WarenkorbHardcover. Zustand: new. Hardcover. 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. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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In den WarenkorbZustand: New. In.
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Verlag: ISTE Ltd and John Wiley & Sons Inc, 2010
ISBN 10: 1848212690 ISBN 13: 9781848212695
Sprache: Englisch
Anbieter: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irland
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In den WarenkorbZustand: New. 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. Num Pages: 326 pages. BIC Classification: PBK. Category: (P) Professional & Vocational. Dimension: 234 x 163 x 25. Weight in Grams: 628. . 2011. 1st Edition. Hardcover. . . . .
Verlag: ISTE Ltd and John Wiley & Sons Inc, 2011
ISBN 10: 1848212690 ISBN 13: 9781848212695
Sprache: Englisch
Anbieter: Kennys Bookstore, Olney, MD, USA
EUR 242,50
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In den WarenkorbZustand: New. 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. Num Pages: 326 pages. BIC Classification: PBK. Category: (P) Professional & Vocational. Dimension: 234 x 163 x 25. Weight in Grams: 628. . 2011. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland.
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In den WarenkorbBuch. Zustand: Neu. Neuware - 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 ofthe test results are proved and real applications are illustratedusing examples. Theories and exercises are provided. The incorrectuse of many tests applying most statistical software is highlightedand discussed.
Verlag: ISTE Ltd and John Wiley & Sons Inc, London, 2010
ISBN 10: 1848212690 ISBN 13: 9781848212695
Sprache: Englisch
Anbieter: AussieBookSeller, Truganina, VIC, Australien
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EUR 268,77
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In den WarenkorbHardcover. Zustand: new. Hardcover. 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. 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. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.