A primer on nonparametric analysis. / Volume II / / Shahdad Naghshpour.
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...
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Place / Publishing House: | New York, New York (222 East 46th Street, New York, NY 10017) : : Business Expert Press,, 2016. |
Year of Publication: | 2016 |
Edition: | First edition. |
Language: | English |
Series: | Economics collection.
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Physical Description: | 1 online resource (85 pages) |
Notes: | Includes index. |
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Naghshpour, Shahdad., author. A primer on nonparametric analysis. Volume II / Shahdad Naghshpour. First edition. New York, New York (222 East 46th Street, New York, NY 10017) : Business Expert Press, 2016. 1 online resource (85 pages) text rdacontent computer rdamedia online resource rdacarrier Economics collection, 2163-7628 Includes index. 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. Access restricted to authorized users and institutions. 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. Title from PDF title page (viewed on August 29, 2016). Electronic reproduction. Ann Arbor, MI : ProQuest, 2016. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries. Nonparametric statistics. Nonparametric statistics median order statistics rank one sample two samples several samples multiple comparison normality skewness Electronic books. Print version: 9781631575501 ProQuest (Firm) Economics collection. 2163-7628 https://ebookcentral.proquest.com/lib/oeawat/detail.action?docID=4648714 Click to View |
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Naghshpour, Shahdad., |
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Naghshpour, Shahdad., A primer on nonparametric analysis. Economics collection, 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. |
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Naghshpour, Shahdad., |
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Naghshpour, Shahdad., |
title |
A primer on nonparametric analysis. |
title_full |
A primer on nonparametric analysis. Volume II / Shahdad Naghshpour. |
title_fullStr |
A primer on nonparametric analysis. Volume II / Shahdad Naghshpour. |
title_full_unstemmed |
A primer on nonparametric analysis. Volume II / Shahdad Naghshpour. |
title_auth |
A primer on nonparametric analysis. |
title_new |
A primer on nonparametric analysis. |
title_sort |
a primer on nonparametric analysis. |
series |
Economics collection, |
series2 |
Economics collection, |
publisher |
Business Expert Press, |
publishDate |
2016 |
physical |
1 online resource (85 pages) |
edition |
First edition. |
contents |
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. |
isbn |
9781631575518 9781631575501 |
issn |
2163-7628 |
callnumber-first |
Q - Science |
callnumber-subject |
QA - Mathematics |
callnumber-label |
QA278 |
callnumber-sort |
QA 3278.8 N2462 42016 |
genre |
Electronic books. |
genre_facet |
Electronic books. |
url |
https://ebookcentral.proquest.com/lib/oeawat/detail.action?docID=4648714 |
illustrated |
Not Illustrated |
dewey-hundreds |
500 - Science |
dewey-tens |
510 - Mathematics |
dewey-ones |
519 - Probabilities & applied mathematics |
dewey-full |
519.5 |
dewey-sort |
3519.5 |
dewey-raw |
519.5 |
dewey-search |
519.5 |
oclc_num |
957318032 |
work_keys_str_mv |
AT naghshpourshahdad aprimeronnonparametricanalysisvolumeii AT naghshpourshahdad primeronnonparametricanalysisvolumeii |
status_str |
n |
ids_txt_mv |
(MiAaPQ)5004648714 (Au-PeEL)EBL4648714 (CaPaEBR)ebr11249678 (CaONFJC)MIL949216 (OCoLC)957318032 |
hierarchy_parent_title |
Economics collection, |
is_hierarchy_title |
A primer on nonparametric analysis. |
container_title |
Economics collection, |
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1792330921695772672 |
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