Аннотация
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.
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