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Ajouter au panierGebunden. Etat : 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 illustrate.
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Edité par ISTE Ltd and John Wiley and Sons Inc, 2010
ISBN 10 : 1848212690 ISBN 13 : 9781848212695
Langue: anglais
Vendeur : PBShop.store UK, Fairford, GLOS, Royaume-Uni
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Edité par ISTE Ltd and John Wiley & Sons Inc, 2010
ISBN 10 : 1848212690 ISBN 13 : 9781848212695
Langue: anglais
Vendeur : Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlande
Edition originale
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Ajouter au panierEtat : 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. . . . .
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Ajouter au panierBuch. Etat : 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.
Edité par Iste/Hermes Science Pub, 2010
ISBN 10 : 1848212690 ISBN 13 : 9781848212695
Langue: anglais
Vendeur : Revaluation Books, Exeter, Royaume-Uni
EUR 217,71
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Ajouter au panierHardcover. Etat : Brand New. 1st edition. 320 pages. 9.25x6.50x1.00 inches. In Stock.
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Edité par ISTE Ltd and John Wiley & Sons Inc, London, 2010
ISBN 10 : 1848212690 ISBN 13 : 9781848212695
Langue: anglais
Vendeur : Grand Eagle Retail, Mason, OH, Etats-Unis
Edition originale
EUR 177,28
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Ajouter au panierHardcover. Etat : 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.
Edité par ISTE Ltd and John Wiley & Sons Inc, 2011
ISBN 10 : 1848212690 ISBN 13 : 9781848212695
Langue: anglais
Vendeur : Kennys Bookstore, Olney, MD, Etats-Unis
EUR 241,83
Autre deviseQuantité disponible : 15 disponible(s)
Ajouter au panierEtat : 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.
Edité par ISTE Ltd and John Wiley & Sons Inc, London, 2010
ISBN 10 : 1848212690 ISBN 13 : 9781848212695
Langue: anglais
Vendeur : AussieBookSeller, Truganina, VIC, Australie
Edition originale
EUR 267,69
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Ajouter au panierHardcover. Etat : 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.