Zeitschriftenartikel:
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);
S. 3
- 16.
Kurzfassung englisch:
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.
"Offizielle" elektronische Version der Publikation (entsprechend ihrem Digital Object Identifier - DOI)
http://dx.doi.org/10.1002/int.21825
Elektronische Version der Publikation:
http://onlinelibrary.wiley.com/doi/10.1002/int.21825/abstract
Erstellt aus der Publikationsdatenbank der Technischen Universität Wien.