Maria Teresa Lopez
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Maria Teresa Lopez has a total of 7 co-authors. Here are the top co-authors by number of shared publications:
- Gil González-Rodríguez
European Center for Soft Computing
2 shared publications - María Ángeles Gil
University of Oviedo
2 shared publications Ana Belen Ramos
Department of Statistics and OR, University of Oviedo, C/Calvo Sotelo, s/n, 33007 Oviedo, Spain
1 shared publication- Ana Belén Ramos-Guajardo
University of Oviedo
1 shared publication - Manuel Montenegro
Universidad de Oviedo
1 shared publication - María Asunción Lubiano
Department of Statistics, Operational Research, and Didactics of Mathematics, University of Oviedo, Oviedo, Spain
1 shared publication
Latest Publications
- 1 January 2013
- Published by Springer Nature
- p. 135-143
Fuzzy Rating vs. Fuzzy Conversion Scales: An Empirical Comparison through the MSE
- 1 January 2013
- Published by Springer Nature
- p. 135-143
Fuzzy Rating vs. Fuzzy Conversion Scales: An Empirical Comparison through the MSE
- 1 January 2010
- Published by Springer Nature
- p. 537-544
Power Analysis of the Homoscedasticity Test for Random Fuzzy Sets
- 1 January 2010
- Published by Springer Nature
- p. 537-544
Power Analysis of the Homoscedasticity Test for Random Fuzzy Sets
- 1 June 2007
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- Vol. 51 (10987584) , 1-4
Power analysis of the one sample test for fuzzy random variables
In previous works valuable tools in testing statistical hypotheses about the means of fuzzy random variables have been developed. In this paper we present a study about the power function of an asymptotic procedure for the one-sample test. More precisely, the behaviour of the statistic under local alternatives is analyzed. The procedure is carried out on the basis of a metric between fuzzy sets defined through their support functions which allows us to take advantage of the central limit theorem in Banach spaces.
- 1 June 2007
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- Vol. 51 (10987584) , 1-4
Power analysis of the one sample test for fuzzy random variables
In previous works valuable tools in testing statistical hypotheses about the means of fuzzy random variables have been developed. In this paper we present a study about the power function of an asymptotic procedure for the one-sample test. More precisely, the behaviour of the statistic under local alternatives is analyzed. The procedure is carried out on the basis of a metric between fuzzy sets defined through their support functions which allows us to take advantage of the central limit theorem in Banach spaces.