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Hasan, Haitham Sabah
- Using Cuckoo Algorithm for Estimating Two GLSD Parameters and Comparing it With Other Algorithms
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1 University of Information Technology & Communications, IQ
1 University of Information Technology & Communications, IQ
Source
AIRCC's International Journal of Computer Science and Information Technology, Vol 9, No 5 (2017), Pagination: 87-96Abstract
This study introduces and compares different methods for estimating the two parameters of generalized logarithmic series distribution. These methods are the cuckoo search optimization, maximum likelihood estimation, and method of moments algorithms. All the required derivations and basic steps of each algorithm are explained. The applications for these algorithms are implemented through simulations using different sample sizes (n = 15, 25, 50, 100). Results are compared using the statistical measure mean square error.Keywords
Cuckoo Search Optimization (CSO) Algorithm, Maximum Likelihood Estimation (MLE) Algorithm, Method of Moments (MOM) Algorithm, Mean Square Error (MSE).Full Text
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