Paper Info
Title
Design of Experiments in Computational Intelligence: On the Use of Statistical Inference
Abstract
The experimental analysis on the performance of a proposed method is a crucial and necessary task to carry out in a research. In this contribution we focus on the use of statistical inference for analyzing the results obtained in a design of experiment within the field of computational intelligence. We present some studies involving a set of techniques in different topics which can be used for doing a rigorous comparison among the algorithms studied in an experimental comparison.Particularly, we study whether the sample of results from multiple trials obtained by the run of several algorithms checks the required conditions for being analyzed through parametric tests. In most of the cases, the results indicate that the fulfillment of these conditions are problem dependent and indefinite, which justifies the need of using nonparametric statistics in the experimental analysis. We show a case study which illustrates the use of nonparametric tests and finally we give some guidelines on the use of nonparametric statistical tests.
Year
DOI
Venue
2008
10.1007/978-3-540-87656-4_3
HAIS
Keywords
Field
DocType
computational intelligence,statistical inference,rigorous comparison,experimental comparison,nonparametric statistic,experimental analysis,algorithms check,case study,nonparametric statistical test,nonparametric test,design of experiment
Computational intelligence,Computer science,Nonparametric statistics,Parametric statistics,Artificial intelligence,Statistical inference,Machine learning,Design of experiments
Conference
Volume
ISSN
Citations 
5271
0302-9743
1
PageRank 
References 
Authors
0.34
12
2
Name
Order
Citations
PageRank
Salvador García1121934.57
Francisco Herrera2273911168.49