Name
Abstract | ||
|---|---|---|
The bootstrap is a simple and straightforward method for calculating approximated biases, standard deviations, confidence intervals, testing statistical hypotheses, and so forth, in almost any nonparametric estimation problem. A new approach for bootstrap testing fuzzy hypotheses based on fuzzy test statistic is introduced. In this paper we describe bootstrap method that is designed directly for hypothesis testing for fuzzy data based on Yao-Wu signed distance. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1016/j.eswa.2010.02.030 | Expert Syst. Appl. |
Keywords | Field | DocType |
testing hypotheses,hypothesis testing,fuzzy statistic,confidence interval,bootstrap method,fuzzy test statistic,fuzzy data,new approach,fuzzy confidence,fuzzy hypotheses,fuzzy canonical number,approximated bias,fuzzy hypothesis,straightforward method,bootstrap testing,yao–wu signed distance,standard deviation,hypothesis test | Data mining,Test statistic,Statistic,Signed distance function,Fuzzy logic,Nonparametric statistics,Statistics,Standard deviation,Bootstrapping (electronics),Statistical hypothesis testing,Mathematics | Journal |
Volume | Issue | ISSN |
37 | 8 | Expert Systems With Applications |
Citations | PageRank | References |
7 | 0.50 | 9 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mohammad Ghasem Akbari | 1 | 31 | 12.04 |
| A. H. Roknabadi | 2 | 10 | 1.60 |