A primer on nonparametric analysis. Volume II / Shahdad Naghshpour.
Naghshpour, Shahdad., author.
2016
QA278.8 .N2462 2016
Available Online

Linked e-resources

Linked Resource Online Access

Details

Title A primer on nonparametric analysis. Volume II / Shahdad Naghshpour.
Author Naghshpour, Shahdad., author.
Edition First edition.
ISBN 9781631575501 paperback
9781631575518 (electronic bk.)
Published New York, New York (222 East 46th Street, New York, NY 10017) : Business Expert Press, 2016.
Language English
Description 1 online resource (85 pages)
Call Number QA278.8 .N2462 2016
Dewey Decimal Classification 519.5
Summary Nonparametric statistics provide a scientific methodology for cases where customary statistics are not applicable. Nonparametric statistics are used when the requirements for parametric analysis fail, such as when data are not normally distributed or the sample size is too small. The method provides an alternative for such cases and is often nearly as powerful as parametric statistics. Another advantage of nonparametric statistics is that it offers analytical methods that are not available otherwise. In social sciences, often, it is not possible to obtain measurements, which renders customary analysis impossible. For example, it is not possible to measure utility but is possible to rank preference, which is based on the unmeasurable utility. Nonparametric methods provide theoretically valid options for analysis, making the use of unscientific methods unnecessary. Nonparametric methods are intuitive and simple to comprehend, which helps researchers in the social sciences understand the methods in spite of lacking mathematical rigor needed in analytical methods customarily used in science. The only prerequisite for this book is high school level elementary algebra. This book is a methodology book and bypasses theoretical proofs while providing comprehensive explanations of the logic behind the methods and ample examples, which are all solved using direct computations as well as by using Stata. The book is arranged into two integrated volumes. Although each volume, and for that matter each chapter, can be used separately, it is advisable to read as much of both volumes as possible; because familiarity with what is applicable for different problems will enhance capabilities. It is recommended that everyone read the Introduction and Chapter 1 because determining whether data are random or normally distributed is essential in the selection of parametric versus nonparametric methods.
Note Includes index.
Access Note Access limited to authorized users.
Source of Description Title from PDF title page (viewed on August 29, 2016).
Series Economics collection. 2163-7628
Available in Other Form Print version: 9781631575501
Linked Resources Online Access
Record Appears in Online Resources > Ebooks
All Resources
Section I. K related samples
1. Three or more related populations: one-way analysis of variance
2. K unrelated samples tests
Section II. Measures of association
3. Correlation coefficient
Index.

Browse Subjects

Show more subjects...

Statistics

from
to
Export