On accurate and precise generation of generalized Poisson variates |
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Authors: | Hakan Demirtas |
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Affiliation: | Division of Epidemiology and Biostatistics (MC923), University of Illinois at Chicago, Chicago, Illinois, USA |
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Abstract: | This article is concerned with comparison of a few random variate generation techniques for the generalized Poisson distribution. An evaluation is conducted on the degree of proximity between the estimates for its two distributional parameters and first four moments, and the specified or computed true population values via commonly accepted accuracy and precision measures in a simulated setting. |
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Keywords: | Central moments Overdispersion Random number generation Simulation Underdispersion |
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