Publications in Scientific Journals:
S. Muhammad, M. Atif, R. Viertl:
"Generalized Likelihood Ratio Test and Cox's F-Test Based on Fuzzy Lifetime Data";
Journal of Intelligent & Fuzzy Systems,
Volume 32
(2017),
(1);
3
- 16.
English abstract:
Recent developments in measurement science show that continuous measurements are no more precise numbers but more or less imprecise and are called fuzzy. Therefore, to utilize this imprecision of observations, the corresponding analysis techniques related to continuous quantities are essential to generalize fuzzy observations. This study is aimed to generalize the likelihood ratio test and Cox's F-test for fuzzy observations in such a way that they are able to integrate fuzziness of lifetime observations for the inference in addition to stochastic variation. The proposed generalized tests are best suited for lifetime analysis as these cover fuzziness of single observations in addition to random variation.
"Official" electronic version of the publication (accessed through its Digital Object Identifier - DOI)
http://dx.doi.org/10.1002/int.21825
Electronic version of the publication:
http://onlinelibrary.wiley.com/doi/10.1002/int.21825/abstract
Created from the Publication Database of the Vienna University of Technology.