Isbn: 9781441919076 - permutation, parametric, and bootstrap tests of hypotheses (springer series in statistics) (13 resultados)

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  • Idioma: Inglés

    Editorial: Springer, Berlin, 2010

    1441919074 / 9781441919076

    Serie: Libro 75 de 160 - Springer Series in Statistics

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    Librería: PsychoBabel & Skoob Books, Didcot, Reino UnidoPsychoBabel & Skoob Books

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    Paperback. Condición: Good. Paperback. Third edition. Several scores on covers. Spine foot and lower edge of rear cover are a little bumped, affecting closing pages. Light wear on spine head and leading corners. Front upper leading corner is slightly bent, affecting early pages. Minor film peeling on leading edge of rear cover. Binding is intact, contents are clean and clear. AM. Used.…

  • Idioma: Inglés

    Editorial: Springer, 2010

    1441919074 / 9781441919076

    Serie: Libro 75 de 160 - Springer Series in Statistics

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    Librería: Ria Christie Collections, Uxbridge, Reino UnidoRia Christie Collections

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    Condición: New. In English.

  • Idioma: Inglés

    Editorial: Springer, 2010

    1441919074 / 9781441919076

    Serie: Libro 75 de 160 - Springer Series in Statistics

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    Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH

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    Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This text is intended to provide a strong theoretical background in testing hypotheses and decision theory for those who will be practicing in the real worldorwhowillbeparticipatinginthetrainingofreal-worldstatisticiansand biostatisticians. In previous editions of this text, my rhetoric was somewhat tentative. I was saying, in e ect, 'Gee guys, permutation methods provide a practical real-world alternative to asymptotic parametric approximations. Why not give them a try ' But today, the theory, the software, and the hardware have come together. Distribution-free permutation procedures are the primary method for testing hypotheses. Parametric procedures and the bootstrap are to be reserved for the few situations in which they may be applicable. Four factors have forced this change: 1. Desire by workers in applied elds to use the most powerful statistic for their applications. Such workers may not be aware of the fundamental lemma of Neyman and Pearson, but they know that the statistic they wanttouse-acomplexscoreoraratioofscores,doesnothaveanalready well-tabulated distribution. 2. Pressure from regulatory agencies for the use of methods that yield exact signi cance levels, not approximations. 3. A growing recognition that most real-world data are drawn from mixtures of populations. 4. A growing recognition that missing data is inevitable, balanced designs the exception. Thus, it seems natural that the theory of testing hypothesis and the more general decision theory in which it is embedded should be introduced via the permutation tests. On the other hand, certain relatively robust param- ric tests such as Student's t continue to play an essential role in statistical practice.…

  • Idioma: Inglés

    Editorial: Springer, 2010

    1441919074 / 9781441919076

    Serie: Libro 75 de 160 - Springer Series in Statistics

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    Librería: Books Puddle, Woodside, NY, Estados Unidos de AmericaBooks Puddle

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    EUR 284,15

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    Cantidad disponible: 4 disponibles

    Condición: New. pp. 340 3rd Edition.

  • Idioma: Inglés

    Editorial: Springer, 2010

    1441919074 / 9781441919076

    Serie: Libro 75 de 160 - Springer Series in Statistics

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    Librería: Mispah books, Redhill, SURRE, Reino UnidoMispah books

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    Condición: Usado - Como Nuevo

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    Paperback. Condición: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

  • Idioma: Inglés

    Editorial: Springer New York, 2004

    1441919074 / 9781441919076

    Serie: Libro 75 de 160 - Springer Series in Statistics

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    Librería: Revaluation Books, Exeter, Reino UnidoRevaluation Books

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    EUR 306,42

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    Paperback. Condición: Brand New. 3rd ed. edition. 376 pages. 9.00x6.00x0.77 inches. In Stock.

  • Idioma: Inglés

    Editorial: Springer, 2010

    1441919074 / 9781441919076

    Serie: Libro 75 de 160 - Springer Series in Statistics

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    Librería: Brook Bookstore On Demand, Napoli, NA, ItaliaBrook Bookstore On Demand

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    EUR 166,29

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    Condición: new. Questo è un articolo print on demand.

  • Idioma: Inglés

    Editorial: Springer-Verlag New York Inc., 2010

    1441919074 / 9781441919076

    Serie: Libro 75 de 160 - Springer Series in Statistics

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    Librería: THE SAINT BOOKSTORE, Southport, Reino UnidoTHE SAINT BOOKSTORE

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    EUR 166,58

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    Paperback / softback. Condición: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.

  • Idioma: Inglés

    Editorial: Springer New York, 2010

    1441919074 / 9781441919076

    Serie: Libro 75 de 160 - Springer Series in Statistics

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    Librería: moluna, Greven, Alemaniamoluna

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    EUR 180,07

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    Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Contains valuable techniques for reducing computation time, practical advice on experimental design, comparisons with bootstrap, parametric, and nonparametric techniques and a three-part bibliography featuring more than 1,000 articlesContains .…

  • Idioma: Inglés

    Editorial: Springer New York, Chapman And Hall/CRC Dez 2010, 2010

    1441919074 / 9781441919076

    Serie: Libro 75 de 160 - Springer Series in Statistics

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    Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, AlemaniaBuchWeltWeit Ludwig Meier e.K.

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    Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This text is intended to provide a strong theoretical background in testing hypotheses and decision theory for those who will be practicing in the real worldorwhowillbeparticipatinginthetrainingofreal-worldstatisticiansand biostatisticians. In previous editions of this text, my rhetoric was somewhat tentative. I was saying, in e ect, 'Gee guys, permutation methods provide a practical real-world alternative to asymptotic parametric approximations. Why not give them a try ' But today, the theory, the software, and the hardware have come together. Distribution-free permutation procedures are the primary method for testing hypotheses. Parametric procedures and the bootstrap are to be reserved for the few situations in which they may be applicable. Four factors have forced this change: 1. Desire by workers in applied elds to use the most powerful statistic for their applications. Such workers may not be aware of the fundamental lemma of Neyman and Pearson, but they know that the statistic they wanttouse-acomplexscoreoraratioofscores,doesnothaveanalready well-tabulated distribution. 2. Pressure from regulatory agencies for the use of methods that yield exact signi cance levels, not approximations. 3. A growing recognition that most real-world data are drawn from mixtures of populations. 4. A growing recognition that missing data is inevitable, balanced designs the exception. Thus, it seems natural that the theory of testing hypothesis and the more general decision theory in which it is embedded should be introduced via the permutation tests. On the other hand, certain relatively robust param- ric tests such as Student's t continue to play an essential role in statistical practice. 340 pp. Englisch.…

  • Idioma: Inglés

    Editorial: Springer, Springer Dez 2010, 2010

    1441919074 / 9781441919076

    Serie: Libro 75 de 160 - Springer Series in Statistics

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    Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemaniabuchversandmimpf2000

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    Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This text is intended to provide a strong theoretical background in testing hypotheses and decision theory for those who will be practicing in the real worldorwhowillbeparticipatinginthetrainingofreal-worldstatisticiansand biostatisticians. In previous editions of this text, my rhetoric was somewhat tentative. I was saying, in e ect, ¿Gee guys, permutation methods provide a practical real-world alternative to asymptotic parametric approximations. Why not give them a try ¿ But today, the theory, the software, and the hardware have come together. Distribution-free permutation procedures are the primary method for testing hypotheses. Parametric procedures and the bootstrap are to be reserved for the few situations in which they may be applicable. Four factors have forced this change: 1. Desire by workers in applied elds to use the most powerful statistic for their applications. Such workers may not be aware of the fundamental lemma of Neyman and Pearson, but they know that the statistic they wanttouse¿acomplexscoreoraratioofscores,doesnothaveanalready well-tabulated distribution. 2. Pressure from regulatory agencies for the use of methods that yield exact signi cance levels, not approximations. 3. A growing recognition that most real-world data are drawn from mixtures of populations. 4. A growing recognition that missing data is inevitable, balanced designs the exception. Thus, it seems natural that the theory of testing hypothesis and the more general decision theory in which it is embedded should be introduced via the permutation tests. On the other hand, certain relatively robust param- ric tests such as Student¿s t continue to play an essential role in statistical practice.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 340 pp. Englisch.…

  • Idioma: Inglés

    Editorial: Springer, 2010

    1441919074 / 9781441919076

    Serie: Libro 75 de 160 - Springer Series in Statistics

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    Librería: Majestic Books, Hounslow, Reino UnidoMajestic Books

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    Condición: New. Print on Demand pp. 340 14 Illus.

  • Idioma: Inglés

    Editorial: Springer, 2010

    1441919074 / 9781441919076

    Serie: Libro 75 de 160 - Springer Series in Statistics

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    Librería: Biblios, frankfurt am main, HESSE, AlemaniaBiblios

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    Condición: New. PRINT ON DEMAND pp. 340.