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Fuzzy Modeling and Genetic Algorithms for Data Mining and Exploration
book

Fuzzy Modeling and Genetic Algorithms for Data Mining and Exploration

by Earl Cox
February 2005
Beginner to intermediate
540 pages
14h 9m
English
Morgan Kaufmann
Content preview from Fuzzy Modeling and Genetic Algorithms for Data Mining and Exploration
40
Chapter 3 Approaches to Model Building
TABLE 3.2
Strengths/Weaknesses of Nonparametric Statistics
Strengths
Advanced and proven mathematical methods
Techniques for finding parameters that describe an unknown population
Useful in discovering the actual distribution in preparation for a more
detailed analysis by ordinary, parametric statistics
Ideal for looking at anomalies and differences in central measures of the
population that have some underlying order or ranking
Weaknesses
Limited range of analytical tools.
Not often included in statistical software products.
Technique primarily familiar to advanced statistical users. This means
that skilled ...
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Publisher Resources

ISBN: 9780080470597