Table 1. Empirical MSE to estimate the CP distribution parameter λ

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Presentation transcript:

Table 1. Empirical MSE to estimate the CP distribution parameter λ 1.2 1 0.9 0.6 0.3 The method sample size 7.189884 7.600554 7.701642 7.8975 9.805536 MLE 10 9.110556 9.552816 9.66654 9.875034 11.770434 EME 5.446116 5.913648 6.027372 6.204276 8.131266 PE 8.870472 9.300096 9.426456 9.63495 11.53035 LSE 8.200764 8.598798 8.737794 8.933652 10.854324 WLSE 5.40189 5.825196 5.97051 6.185322 8.074404 20 8.921016 9.356958 9.489636 9.704448 11.599848 5.351346 5.6862 5.850468 6.046326 7.979634 8.819928 9.25587 9.344322 11.448216 8.18181 8.611434 8.712522 8.927334 10.829052 4.984902 5.382936 5.52825 5.743062 7.594236 50 8.857836 9.325368 9.439092 9.628632 5.187078 5.641974 5.755698 5.964192 7.859592 8.301852 8.706204 9.015786 10.942776 8.143902 8.541936 8.674614 10.765872 4.744818 5.206032 5.300802 5.515614 7.411014 100 8.838882 9.262188 9.559134 11.454534 5.098626 5.547204 5.679882 7.733232 8.099676 8.56089 8.668296 8.87679 10.797462 8.061768 8.504028 8.586162 8.788338 10.734282 Salah H Abid et al. On The Continuous Poisson Distribution. International Journal of Data Envelopment Analysis and *Operations Research*, 2016, Vol. 2, No. 1, 7-15. doi:10.12691/ijdeaor-2-1-2 © The Author(s) 2015. Published by Science and Education Publishing.