Now showing items 1-4 of 4

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    Asymptotic tests for poisson distribution 

    Manad Khamkong; Pachitjanut Siripanich, advisor (National Institute of Development Administration, 2010)

    Poisson distribution is well used as a standard model for analyzing the count data in many fields such as environmental sciences, epidemiology, manufacturing applications, econometrics and finance. The importance for testing the fit of the observations arises from a Poisson distribution. In general, the tests related to the Index of Dispersion (ID) concerning the mean and variance is quite powerful against a wide variety of alternatives except when the ID is closer to 1 (Gurtler and ɺɺ Henze, 2000: 219; Karlis and Xekalaki, 2000: 381; Meintanis ...
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    Discriminating between the extended exponential geometric distribution and the gamma distribution 

    Prasong Kitidamrongsuk; Pachitjanut Siripanich, advisor (National Institute of Development Administration, 2010)

    The proposed test called ELT is a goodness of fit test for discriminating between the family of the extended exponential geometric (EEG) distributions and the family of the Gamma distributions. The corresponding test statistic is developed based on the empirical Laplace transform () ktx e (, ) txwhere the argument value maximizes n X () ; t L t and is replaced by its MLE . It is verified that converges in distribution to (0 , 1). Performance of the proposed test is compared via Monte Carlo studies to that of the Kolmogorov – Smirnov (KS) test and ...
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    Estimation of parameters in a truncated gamma distribution with unknown truncation points 

    Prasert Ruannakarn; Anek Hirunraks, advisor (National Institute of Development Administration, 2003)
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    The generalized poisson distribution : some properties and estimation 

    Bunthom Suraporn; Pachitjanut Siripanich, advisor (National Institute of Development Administration, 2006)