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| Title: | Consistency Issues in Skew Random Fields: Investigating Proposed Alternatives and Identifying Persisting Problems |
| Authors: | Taghipour, M., Saber, M. M., Khan, M. I., Hamed, M. S. & Yousof, H. M. |
| Year: | 2025 |
| Keywords: | Random field, Multivariate closed skew-normal distribution, Multivariate unified skew-normal distribution, spatial prediction. |
| Journal: | Pakistan Journal of Statistics and Operation Research (PJSOR) |
| Volume: | 21 |
| Issue: | 1 |
| Pages: | 33-37 |
| Publisher: | Pakistan Journal of Statistics and Operation Research (PJSOR) |
| Local/International: | International |
| Paper Link: | |
| Full paper | Mohamed Sewalim El-sayed Hamed_Consistency Issues in Skew Random Fields Investigating Proposed.pdf |
| Supplementary materials | Not Available |
| Abstract: |
Multiple researchers have proposed skew random fields derived from multivariate skew distributions, yet the consistency of these fields has been questioned. Mahmoudian (2018) and Saber et al. (2018) have proposed alternative suggestions to address these concerns. In our study, we identify that the random fields outlined by Mahmoudian (2018) continue to demonstrate consistency issues, suggesting a flaw in their definition. Finally, we propose a skew random field and apply it to spatial prediction. |
