TY  - JOUR
AU  - Shabri, Ani 
AU  - Jemain, Abdul Aziz 
PY  - 2009
TI  - Estimation of the Extreme Value Type I Distribution by the Method of LQ-Moments
JF  - Journal of Mathematics and Statistics
VL  - 5
IS  - 4
DO  - 10.3844/jmssp.2009.298.304
UR  - https://thescipub.com/abstract/jmssp.2009.298.304
AB  - Problem statement: The study evaluated the effectiveness of the various quantile estimators of the LQ-moments method for estimating parameters of the Extreme Value Type 1 (EV1) distribution. Approach: The performances of the LQ-moments were analyzed and compared against a widely used method of L-moments by using simulated samples of both EV1 and generalized Lambda distribution, focusing on small and moderate sample sizes. Results: The analysis results showed that LQMOM method wais more efficient in many cases especially for the upper tails of the distribution and for various sample sizes. Conclusion: This study demonstrated that conventional LMOM was not optimal for the estimation of the EV1 distribution.