Published by ISTE Ltd and John Wiley & Sons Inc, London, 2010
ISBN 10: 1848212690 ISBN 13: 9781848212695
Language: English
Seller: Grand Eagle Retail, Mason, OH, U.S.A.
First Edition
Hardcover. Condition: 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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Published by ISTE Ltd and John Wiley & Sons Inc, 2010
ISBN 10: 1848212690 ISBN 13: 9781848212695
Language: English
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
First Edition
US$ 235.90
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Add to basketCondition: 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. . . . .
Published by ISTE Ltd and John Wiley & Sons Inc, 2011
ISBN 10: 1848212690 ISBN 13: 9781848212695
Language: English
Seller: Kennys Bookstore, Olney, MD, U.S.A.
Condition: 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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Add to basketBuch. Condition: 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.
Published by ISTE Ltd and John Wiley & Sons Inc, London, 2010
ISBN 10: 1848212690 ISBN 13: 9781848212695
Language: English
Seller: AussieBookSeller, Truganina, VIC, Australia
First Edition
US$ 314.47
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Add to basketHardcover. Condition: 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.