ISBN: 9781461269861 - the statistical analysis of discrete data (12 risultati)

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  • Lingua: Inglese

    Editore: Springer, 2012

    1461269865 / 9781461269861

    Serie: Libro 3 di 111 - Springer Texts in Statistics

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  • Lingua: Inglese

    Editore: Springer, 2012

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  • Lingua: Inglese

    Editore: Springer, 2012

    1461269865 / 9781461269861

    Serie: Libro 3 di 111 - Springer Texts in Statistics

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    Condizione: New. pp. 388.

  • Lingua: Inglese

    Editore: Springer Verlag, 2013

    1461269865 / 9781461269861

    Serie: Libro 3 di 111 - Springer Texts in Statistics

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    Paperback. Condizione: Brand New. 384 pages. 9.25x6.10x0.88 inches. In Stock.

  • Lingua: Inglese

    Editore: Springer New York, 2012

    1461269865 / 9781461269861

    Serie: Libro 3 di 111 - Springer Texts in Statistics

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  • Lingua: Inglese

    Editore: Springer, 2012

    1461269865 / 9781461269861

    Serie: Libro 3 di 111 - Springer Texts in Statistics

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  • Lingua: Inglese

    Editore: Springer, Humana Okt 2012, 2012

    1461269865 / 9781461269861

    Serie: Libro 3 di 111 - Springer Texts in Statistics

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    Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.

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    Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The Statistical Analysis of Discrete Data provides an introduction to cur rent statistical methods for analyzing discrete response data. The book can be used as a course text for graduate students and as a reference for researchers who analyze discrete data. The book's mathematical prereq uisites are linear algebra and elementary advanced calculus. It assumes a basic statistics course which includes some decision theory, and knowledge of classical linear model theory for continuous response data. Problems are provided at the end of each chapter to give the reader an opportunity to ap ply the methods in the text, to explore extensions of the material covered, and to analyze data with discrete responses. In the text examples, and in the problems, we have sought to include interesting data sets from a wide variety of fields including political science, medicine, nuclear engineering, sociology, ecology, cancer research, library science, and biology. Although there are several texts available on discrete data analysis, we felt there was a need for a book which incorporated some of the myriad recent research advances. Our motivation was to introduce the subject by emphasizing its ties to the well-known theories of linear models, experi mental design, and regression diagnostics, as well as to describe alterna tive methodologies (Bayesian, smoothing, etc. ); the latter are based on the premise that external information is available. These overriding goals, to gether with our own experiences and biases, have governed our choice of topics. 388 pp. Englisch.…

  • Lingua: Inglese

    Editore: Springer-Verlag New York Inc., 2012

    1461269865 / 9781461269861

    Serie: Libro 3 di 111 - Springer Texts in Statistics

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

  • Lingua: Inglese

    Editore: Springer, 2012

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    Condizione: New. Print on Demand pp. 388 49:B&W 6.14 x 9.21 in or 234 x 156 mm (Royal 8vo) Perfect Bound on White w/Gloss Lam.

  • Lingua: Inglese

    Editore: Springer, 2012

    1461269865 / 9781461269861

    Serie: Libro 3 di 111 - Springer Texts in Statistics

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    Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios

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    Condizione: New. PRINT ON DEMAND pp. 388.

  • Lingua: Inglese

    Editore: Humana, 2012

    1461269865 / 9781461269861

    Serie: Libro 3 di 111 - Springer Texts in Statistics

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    Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The Statistical Analysis of Discrete Data provides an introduction to cur rent statistical methods for analyzing discrete response data. The book can be used as a course text for graduate students and as a reference for researchers who analyze discrete data. The book's mathematical prereq uisites are linear algebra and elementary advanced calculus. It assumes a basic statistics course which includes some decision theory, and knowledge of classical linear model theory for continuous response data. Problems are provided at the end of each chapter to give the reader an opportunity to ap ply the methods in the text, to explore extensions of the material covered, and to analyze data with discrete responses. In the text examples, and in the problems, we have sought to include interesting data sets from a wide variety of fields including political science, medicine, nuclear engineering, sociology, ecology, cancer research, library science, and biology. Although there are several texts available on discrete data analysis, we felt there was a need for a book which incorporated some of the myriad recent research advances. Our motivation was to introduce the subject by emphasizing its ties to the well-known theories of linear models, experi mental design, and regression diagnostics, as well as to describe alterna tive methodologies (Bayesian, smoothing, etc. ); the latter are based on the premise that external information is available. These overriding goals, to gether with our own experiences and biases, have governed our choice of topics.…

  • Lingua: Inglese

    Editore: Springer, Copernicus Okt 2012, 2012

    1461269865 / 9781461269861

    Serie: Libro 3 di 111 - Springer Texts in Statistics

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    Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000

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    Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The Statistical Analysis of Discrete Data provides an introduction to cur rent statistical methods for analyzing discrete response data. The book can be used as a course text for graduate students and as a reference for researchers who analyze discrete data. The book's mathematical prereq uisites are linear algebra and elementary advanced calculus. It assumes a basic statistics course which includes some decision theory, and knowledge of classical linear model theory for continuous response data. Problems are provided at the end of each chapter to give the reader an opportunity to ap ply the methods in the text, to explore extensions of the material covered, and to analyze data with discrete responses. In the text examples, and in the problems, we have sought to include interesting data sets from a wide variety of fields including political science, medicine, nuclear engineering, sociology, ecology, cancer research, library science, and biology. Although there are several texts available on discrete data analysis, we felt there was a need for a book which incorporated some of the myriad recent research advances. Our motivation was to introduce the subject by emphasizing its ties to the well-known theories of linear models, experi mental design, and regression diagnostics, as well as to describe alterna tive methodologies (Bayesian, smoothing, etc. ); the latter are based on the premise that external information is available. These overriding goals, to gether with our own experiences and biases, have governed our choice of topics.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 388 pp. Englisch.…