TY - JOUR AU - Parveen, Sultan AU - Singh, Sanjay Kumar AU - Singh, Umesh AU - Kumar, Dinesh PY - 2019/07/30 Y2 - 2024/03/29 TI - A Comparative Study of Traditional and Kullback-Leibler Divergence of Survival Functions Estimators for the Parameter of Lindley Distribution JF - Austrian Journal of Statistics JA - AJS VL - 48 IS - 5 SE - Articles DO - 10.17713/ajs.v48i5.772 UR - https://www.ajs.or.at/index.php/ajs/article/view/772 SP - 45-53 AB - <p>A new point estimation method based on Kullback-Leibler divergence of survival functions (KLS), measuring the distance between an empirical and prescribed survival functions, has been used to estimate the parameter of Lindley distribution. The simulation studies have been carried out to compare the performance of the proposed estimator with the corresponding Least square (LS), Maximum likelihood (ML) and Maximum product spacing (MPS) methods of estimation.</p> ER -