- All Journals
- Al-Qadisiyah University
- Basrah University
- Kirkuk University
- Mosul University
- The Iraqi Borad for Medical Specialization
- University of Anbar
- University of Technology
- Al Mustafa University
- Al-Zahraa University for Women
- Alnoor University
- Kunooz University
- Misan University
- Ninevah University
- Tikrit University
- University of Al-Hamdaniya
- University of Kerbala
Semi-Fuzzy Time Series for Robust Parameters Estimation | ||
| AL-Qadisiyah Journal For Administrative and Economic sciences | ||
| Article 1, Volume 14, Issue 1, 2013, Pages 129-151 PDF (0 K) | ||
| Authors | ||
| Abdul Majid H. Alnasser; Taher R. Dekheel | ||
| Abstract | ||
| The presence of outliers in data influences not only in diagnostic model, but exceed to parameters estimation. So the goal of this paper is to make the autocorrelation coefficient robust against outliers to estimate parameters which will be robust depending on those coefficients. This goal is achieved by two suggestions depending on Fuzzy Logic which suggests estimation procedure to estimate autocorrelation coefficients called Semi-Fuzzy Pearson coefficient ,and suggests another one called Semi-Fuzzy Kendall , to use it to estimate the autocorrelation coefficients which will be used in parameter estimation. | ||
|
Statistics Article View: 188 PDF Download: 111 |
||