Applied Nonparametric Statistical Methods

ISBN-10: 158488701X
ISBN-13: 9781584887010
Edition: 4th 2007 (Revised)
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Description: While preserving the clear, accessible style of previous editions, Applied Nonparametric Statistical Methods, Fourth Edition reflects the latest developments in computer-intensive methods that deal with intractable analytical problems and unwieldy  More...

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Book details

List price: $104.95
Edition: 4th
Copyright year: 2007
Publisher: CRC Press LLC
Publication date: 3/6/2007
Binding: Hardcover
Pages: 542
Size: 6.50" wide x 9.50" long x 1.25" tall
Weight: 2.2
Language: English

While preserving the clear, accessible style of previous editions, Applied Nonparametric Statistical Methods, Fourth Edition reflects the latest developments in computer-intensive methods that deal with intractable analytical problems and unwieldy data sets.Reorganized and with additional material, this edition begins with a brief summary of some relevant general statistical concepts and an introduction to 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 text also expands coverage on the analysis of survival data and the bootstrap method. The new final chapter focuses on important modern developments, such as large sample methods and computer-intensive applications.Keeping mathematics to a minimum, this text introduces nonparametric methods to undergraduate students who are taking either mainstream statistics courses or statistics courses within other disciplines. By giving the proper attention to data collection and the interpretation of analyses, it provides a full introduction to nonparametric methods.

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

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