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Publication
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| Title of Article |
A representation of random variables for finite mixture model based on combinatorial form |
| Date of Acceptance |
2 November 2017 |
| Journal |
| Title of Journal |
Journal of applied statistics and information technology |
| Standard |
OTHER () |
| Institute of Journal |
NIDA |
| ISBN/ISSN |
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| Volume |
3 |
| Issue |
1 |
| Month |
มกราคม-มิถุนายน |
| Year of Publication |
2019 |
| Page |
32-38 |
| Abstract |
A formula of generating random variable for finite mixture model is proposed. The main contribution of the work is a representation of random variable for finite cdf mixture model. We illustrate the generating random variable from the four components including a mixture of normal distribution, logistic distribution, log-normal distribution and gamma distribution in case of the number of the random variable is different, which present both the density and the cumulative probability and compare with mixture distribution. The results show that the more numbers of the random variable, the more the density and the cumulative probability are at the similar values more than small amount of number of the random variable. |
| Keyword |
mixture model, random variable, mixing weight, generating |
| Author |
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| Reviewing Status |
มีผู้ประเมินอิสระ |
| Status |
ตีพิมพ์แล้ว |
| Level of Publication |
ชาติ |
| citation |
true |
| Part of thesis |
true |
| Attach file |
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| Citation |
0
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Journal Publication
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