id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
m-392	ALsawi, Khalil Mostafa; El-Saeiti, Intesar N.; Shamia, Gebriel M.	Adequacy of H-Likelihood Estimation Method for Unbalanced Clustered Counting Data Models.	2021	11	.pdf	application/pdf	3314	151	50	Next table is Table(2); for the simulated sample of size (5,10,50) observations and 3, 10, and 50 clusters; where the actual value is equal to 0.2 for the parameter �� , and the value for the �� parameter is equal to zero because there is no X2 value, it is used only to calculate the power and the probability of type-I error rate” Table (2): the estimate parameters Cluster Observations Unbalanc ed Balanced ��� ��� ��� ��� K=3 n=5 n=10 n=50 0.2033534 0.1947158 0.2008493 0.003756905 -0.00445098 0.004040149 0.2041509 0.2028573 0.2045826 -0.00518115 0.01137586 0.00065012 K=10 n=5 n=10 n=50 0.1994582 0.1980559 0.2008564 -0.00049512 estimate values (���) 0.188 0.19 0.192 0.194 0.196 0.198 0.2 0.202 0.204 0.206 n=5 n=10n=50 n=5 n=10n=50 n=5 n=10n=50 Balanced unbalanced -0.01 -0.005 0 0.005 0.01 0.015 n=5 n=10 n=50 n=5 n=10 n=50 n=5 n=10 n=50 Balancd Unbalanced IJO - INTERNATIONAL JOURNAL OF MATHEMATICS Volume 3| Issue 12|	cache/m-392.pdf	txt/m-392.txt