TY  - JOUR
T1  - Two Parameter Lindley Distribution:Estimating the Reliability Function with
Fuzzy Data
AU - Hashim Al-Noor, Nadia AU - Sameer Subhi, Rasha 
JO  - Journal of Engineering and Applied Sciences
VL  - 13
IS  - 18
SP  - 7670
EP  - 7676
PY  - 2018
DA  - 2001/08/19
SN  - 1816-949x
DO  - jeasci.2018.7670.7676
UR  - https://makhillpublications.co/view-article.php?doi=jeasci.2018.7670.7676
KW  - Lindley
KW  -Bayes estimators
KW  -gamma
KW  -Monte-Carlo
KW  -precautionary
KW  -simulation study
AB  - In this study, the maximum likelihood and approximate Bayes estimators to the reliability function of
two parameter Lindley distribution have been derived when the data are shown in fuzzy form. Bayes estimators
have been derived based on informative gamma priors with squared error and precautionary loss functions
according to approximate Lindley’s technique. The generated samples that follow the two parameter Lindley
distribution are converted to fuzzy data based on a specific fuzzy information system. In addition, obtained
estimators to the reliability function have been compared numerically through a Monte-Carlo simulation study
in terms of their integrated mean squared error values.
ER  -