Integration of fuzzy and geostatistical models for estimating missing multivariate observations
Pham, Tuan D. (2005) Integration of fuzzy and geostatistical models for estimating missing multivariate observations. WSEAS Transactions on Systems, 4 (4). pp. 233-237.
![[img]](https://researchonline.jcu.edu.au/style/images/fileicons/application_pdf.png) |
PDF (Published Version)
Restricted to Repository staff only |
Abstract
The estimation of missing observations is an important research field which has practical applications in many science and engineering disciplines. In analyzing the variability of a particular data set which can be spatially related, classical statistical methods make no use of this type of information; whereas geostatistics accomodates the spatial information of the data set in its regression analysis for estimating missing observations or unknown data. This paper incorporates the modeling of fuzzy protoptyes in the cokriging system of geostatistics in order to improve the accuracy of the estimates and alleviate the computational complexity of cokriging.
| Item ID: | 14100 |
|---|---|
| Item Type: | Article (Research - C1) |
| ISSN: | 1109-2777 |
| Additional Information: | No current JCU email address available. |
| Date Deposited: | 03 Dec 2010 04:30 |
| FoR Codes: | 08 INFORMATION AND COMPUTING SCIENCES > 0899 Other Information and Computing Sciences > 089999 Information and Computing Sciences not elsewhere classified @ 100% |
| SEO Codes: | 89 INFORMATION AND COMMUNICATION SERVICES > 8999 Other Information and Communication Services > 899999 Information and Communication Services not elsewhere classified @ 100% |
| Downloads: |
Total: 4 |
| More Statistics |
Actions (Repository Staff Only)
 |
Item Control Page |