Fuzzy Estimators for Hazard Rate Function Under Mixed Quasi ? Lindely
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
www.ijsr.net | Open Access | Fully Refereed | Peer Reviewed International Journal

ISSN: 2319-7064

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Research Paper | Statistics | Iraq | Volume 7 Issue 3, March 2018

Fuzzy Estimators for Hazard Rate Function Under Mixed Quasi ? Lindely

Saleemah H. Jasaim

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

Edition: Volume 7 Issue 3, March 2018

Pages: 1300 - 1308

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How to Cite this Article?

Saleemah H. Jasaim, "Fuzzy Estimators for Hazard Rate Function Under Mixed Quasi ? Lindely", International Journal of Science and Research (IJSR), https://www.ijsr.net/search_index_results_paperid.php?id=ART2018586, Volume 7 Issue 3, March 2018, 1300 - 1308

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