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NONPARAMETRIC STATISTICAL METHODS.

HOLLANDER MYLES & A.WOLFE DOUGLAS

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ISBN 10: 047140635X / ISBN 13: 9780471406358
Editorial: JOHN WILEY & SONS, 1973
Usado Condición: bon Encuadernación de tapa dura
Librería: Le-Livre (SABLONS, Francia)

Librería en AbeBooks desde: 4 de diciembre de 2003

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R240095931: XVIII + 503 pages - ouvrage essentiellement en anglais - jaquette en bon état . OUVRAGE EN ANGLAIS. In-8 Relié. Bon état. Couv. convenable. Dos satisfaisant. Intérieur frais Classification Dewey : 420-Langue anglaise. Anglo-saxon. N° de ref. de la librería R240095931

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Detalles bibliográficos

Título: NONPARAMETRIC STATISTICAL METHODS.

Editorial: JOHN WILEY & SONS

Año de publicación: 1973

Encuadernación: Couverture rigide

Condición del libro:bon

Condición de la sobrecubierta: Dust Jacket Included

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Sinopsis:

This Second Edition of Myles Hollander and Douglas A. Wolfe's successful Nonparametric Statistical Methods meets the needs of a new generation of users, with completely up-to-date coverage of this important statistical area. Like its predecessor, the revised edition, along with its companion ftp site, aims to equip readers with the conceptual and technical skills necessary to select and apply the appropriate procedures for a given situation. An extensive array of examples drawn from actual experiments illustrates clearly how to use nonparametric approaches to handle one- or two-sample location and dispersion problems, dichotomous data, and one-way and two-way layout problems. An ideal text for an upper-level undergraduate or first-year graduate course, Nonparametric Statistical Methods, Second Edition is also an invaluable source for professionals who want to keep abreast of the latest developments within this dynamic branch of modern statistics.

From the Back Cover:

The new edition of Hollander and Wolfe's classic text on nonparametric statistical methods.

The importance of nonparametric methods in modern statistics has grown dramatically since their inception in the mid-1930s. Requiring few or no assumptions about the populations from which data are obtained, they have emerged as the preferred methodology among statisticians and researchers performing data analysis. Today, these highly efficient techniques are being applied to an ever-widening variety of experimental designs in the social, behavioral, biological, and physical sciences.

This long-awaited Second Edition of Myles Hollander and Douglas A. Wolfe's successful Nonparametric Statistical Methods meets the needs of a new generation of users, with completely up-to-date coverage of this important statistical area. Like its highly acclaimed predecessor, the revised edition, along with its companion ftp site, aims to equip readers with the conceptual and technical skills necessary to select and apply the appropriate procedures for a given situation. An extensive array of examples drawn from actual experiments illustrates clearly how to use nonparametric approaches to handle one- or two-sample location and dispersion problems, dichotomous data, and one-way and two-way layout problems. Rewritten and updated, this Second Edition now includes new or expanded coverage of:
* Nonparametric regression methods
* The bootstrap
* Contingency tables and the odds ratio
* Life distributions and survival analysis
* Nonparametric methods for experimental designs.

Plus:
* More procedures, real-world data sets, and problems
* Illustrated examples using Minitab and StatXact

An ideal text for an upper-level undergraduate or first-year graduate course, Nonparametric Statistical Methods, Second Edition is also an invaluable source for professionals who want to keep abreast of the latest developments within this dynamic branch of modern statistics.

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Cordialement.
Didier Rodriguez

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