Some Characterizations of The Skew Normal Distribution Using Conditional Moments | ||||
| The International Conference on Mathematics and Engineering Physics | ||||
| Article 8, Volume 6, International Conference on Mathematics and Engineering Physics (ICMEP-6), May 2012, Page 1-19 PDF (870.62 K) | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/icmep.2012.29755 | ||||
 View on SCiNiTO | ||||
| Authors | ||||
| M. Gharib1; A. Sharawy2 | ||||
| 1Mathematics Department, Faculty of Science, Ain Shams University, Cairo, Egypt. | ||||
| 2Mathematics Department,Faculty of Science(men) , Al-Azhar University, Cairo, Egypt. | ||||
| Abstract | ||||
| Abstract Very few researchers have tackled the characterization problem of the skew nor- mal distribution due perhaps to its mathematical tractability. In this article, some new characterization results for the skew normal distribution based on conditional moments have been obtained. The results specialized to the standard normal distri- bution. Some consequences and discussions are, also given in this context. | ||||
| Keywords | ||||
| Order Statistics; single moments; product moments; skew normal distribution; Characterization | ||||
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