Peter Sprent, Nigel C. Smeeton

Applied Nonparametric Statistical Methods (eBook, PDF)

• Format: PDF

Produktbeschreibung

While preserving the clear, accessible style of previous editions, this fourth edition reflects the latest developments in computer-intensive methods that deal with intractable analytical problems and unwieldy data sets. This edition summarizes relevant general statistical concepts and introduces basic ideas of nonparametric or distribution-free methods. Designed experiments, including those with factorial treatment structures, are now the focus of an entire chapter. The book also expands coverage on the analysis of survival data and the bootstrap method. The new final chapter focuses on important modern developments. With numerous exercises, the text offers the student edition of StatXact at a discounted price.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 544
• Erscheinungstermin: 19. April 2016
• Englisch
• ISBN-13: 9781439894019
• Artikelnr.: 56959827

Autorenporträt

Peter Sprent, Nigel C. Smeeton

Inhaltsangabe

Some basic concepts. Fundamentals of nonparametric methods. Location
inference for single samples. Other single-sample inferences. Methods for
paired samples. Methods for two independent samples. Basic tests for three
or more samples. Analysis of structured data. Analysis of survival data.
Correlation and concordance. Bivariate linear regression. Categorical data.
Association in categorical data. Robust estimation. Modern nonparametrics.