scholarly journals A hypothesis testing-based discussion on the sensitivity of means of fuzzy data with respect to data shape

2017 ◽  
Vol 328 ◽  
pp. 54-69 ◽  
Author(s):  
María Asunción Lubiano ◽  
Antonia Salas ◽  
María Ángeles Gil
Keyword(s):  
Hypothesis Testing ◽  
Fuzzy Data

scholarly journals Bootstrap Statistical Inference for the Variance Based on Fuzzy Data

2016 ◽  
Vol 38 (2) ◽  
Author(s):  
Mohammad Ghasem Akbari ◽  
Abdolhamid Rezaei
Keyword(s):  
Hypothesis Testing ◽  
Statistical Inference ◽  
Confidence Intervals ◽  
Nonparametric Estimation ◽  
Bootstrap Method ◽  
Estimation Problem ◽  
Fuzzy Data ◽  
Signed Distance ◽  
Straightforward Method ◽  
Statistical Hypotheses

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. In this paper we describe a bootstrap method for variance that is designed directly for hypothesis testing in case of fuzzy data based on Yao-Wu signed distance.

Bootstrap techniques and fuzzy random variables: Synergy in hypothesis testing with fuzzy data

2006 ◽  
Vol 157 (19) ◽  
pp. 2608-2613 ◽  
Author(s):  
Gil González-Rodríguez ◽  
Manuel Montenegro ◽  
Ana Colubi ◽  
María Ángeles Gil
Keyword(s):  
Hypothesis Testing ◽  
Random Variables ◽  
Fuzzy Data ◽  
Fuzzy Random Variables ◽  
Bootstrap Techniques ◽  
Fuzzy Random

Hypothesis Testing Has Got to Go!

PsycCRITIQUES ◽  
2012 ◽  
Vol 57 (4) ◽  
Author(s):  
David J. Pittenger
Keyword(s):  
Hypothesis Testing
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