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The Measurement of Association: A Permutation Statistical Approach

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eBay item number:384398690085
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Item specifics

Condition
Like New: A book that looks new but has been read. Cover has no visible wear, and the dust jacket ...
Type
Textbook
Book Title
The Measurement Of Association: A Permutation Statistical Ap...
Publication Name
Measurement of Association : a Permutation Statistical Approach
Author
Paul W. Mielke Jr., Kenneth J. Berry, Janis E. Johnston
Publisher
Springer International Publishing A&G
Subject
Biostatistics, Mathematical & Statistical Software, Probability & Statistics / General
ISBN
9783319989259
Subject Area
Mathematics, Computers, Medical
Item Length
9.3 in
Publication Year
2018
Format
Hardcover
Language
English
Item Weight
40.9 Oz
Item Width
6.1 in
Number of Pages
Xx, 647 Pages
Category

About this product

Product Identifiers

Publisher
Springer International Publishing A&G
ISBN-10
3319989251
ISBN-13
9783319989259
eBay Product ID (ePID)
27038397642

Product Key Features

Number of Pages
Xx, 647 Pages
Language
English
Publication Name
Measurement of Association : a Permutation Statistical Approach
Subject
Biostatistics, Mathematical & Statistical Software, Probability & Statistics / General
Publication Year
2018
Type
Textbook
Author
Paul W. Mielke Jr., Kenneth J. Berry, Janis E. Johnston
Subject Area
Mathematics, Computers, Medical
Format
Hardcover

Dimensions

Item Weight
40.9 Oz
Item Length
9.3 in
Item Width
6.1 in

Additional Product Features

TitleLeading
The
Number of Volumes
1 vol.
Illustrated
Yes
Table Of Content
1 Introduction.- 2 Permutation Statistical Methods.- 3 Nominal Level Variables, I.- 4 Nominal Level Variables, II.- 5 Ordinal Level Variables, I.- 6 Ordinal Level Variables, II.- 7 Interval-level Variables.- 8 Mixed-level Variables.- 9 Fourfold Contingency Tables, I.- 10 Fourfold Contingency Tables, II.- Epilogue.- References.- Index.
Synopsis
This research monograph utilizes exact and Monte Carlo permutation statistical methods to generate probability values and measures of effect size for a variety of measures of association. Association is broadly defined to include measures of correlation for two interval-level variables, measures of association for two nominal-level variables or two ordinal-level variables, and measures of agreement for two nominal-level or two ordinal-level variables. Additionally, measures of association for mixtures of the three levels of measurement are considered: nominal-ordinal, nominal-interval, and ordinal-interval measures. Numerous comparisons of permutation and classical statistical methods are presented. Unlike classical statistical methods, permutation statistical methods do not rely on theoretical distributions, avoid the usual assumptions of normality and homogeneity of variance, and depend only on the data at hand. This book takes a unique approach to explaining statistics by integrating a large variety of statistical methods, and establishing the rigor of a topic that to many may seem to be a nascent field. This topic is relatively new in that it took modern computing power to make permutation methods available to those working in mainstream research. Written for a statistically informed audience, it is particularly useful for teachers of statistics, practicing statisticians, applied statisticians, and quantitative graduate students in fields such as psychology, medical research, epidemiology, public health, and biology. It can also serve as a textbook in graduate courses in subjects like statistics, psychology, and biology.
LC Classification Number
QA276-280

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