A Test for the Mean in the Zero-Inflated Poisson Distribution
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Published:
Aug 30, 2007
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Abstract
In analyzing Poisson-count data, sometimes a lot of zeros are observed. When there are too many zeros, a zero-inflated Poisson distribution can be a more suitable model to use. A test for the mean in the imperfect state can be obtained by using the conditional maximum likelihood estimator of and the asymptotic variance of . For moderately small sample size, the probability of the rejection region under the null hypothesis is found to have only a small variation around the targeted value as the value of the nuisance parameter varies.
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How to Cite
Ahmad Kamal, N., & A.H, P. (2007). A Test for the Mean in the Zero-Inflated Poisson Distribution. Malaysian Journal of Science, 26(2), 127–133. Retrieved from https://ejournal.um.edu.my/index.php/MJS/article/view/8077
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