Fuzzy Estimators for Hazard Rate Function Under Mixed Quasi ? Lindely

Saleemah H. Jasaim

Abstract: The non precise data, i. e the data with a source of uncertainty that not caused by randomness for three data fuzzy numbers is a good tool to represent these data, we compare different fuzzy estimators for hazard rate function under mixed quasi Lindely distribution. These estimators are maximum likelihood, moments, and frequency ratio method, using different sets of initial values for () and (), the results are compared using statistical measures mean square error.

Keywords: Fuzzy Estimators, Hazard Function, Quasi Lindely, Location parameter, Scale Parameter, maximum likelihood, moments, linear regression moments

How to Cite?: Saleemah H. Jasaim, "Fuzzy Estimators for Hazard Rate Function Under Mixed Quasi ? Lindely", Volume 7 Issue 3, March 2018, International Journal of Science and Research (IJSR), Pages: 1300-1308, https://www.ijsr.net/getabstract.php?paperid=ART2018586, DOI: https://dx.doi.org/10.21275/ART2018586