Name
Abstract | ||
|---|---|---|
This paper proposes a semiparametric autoregressive integrated moving average model for those real-world applications whose observed data are reported by fuzzy numbers. To this end, a hybrid method including nonparametric kernel-based method, least absolute deviations, and cross-validation method is suggested, which allows estimating parameters of the model including the autoregressive order p, op... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TFUZZ.2018.2791931 | IEEE Transactions on Fuzzy Systems |
Keywords | Field | DocType |
Time series analysis,Data models,Random variables,Correlation,Predictive models,Kernel,Adaptation models | Time series,Autoregressive model,Control theory,Fuzzy logic,Algorithm,Autoregressive integrated moving average,Smoothing,Least absolute deviations,Semiparametric model,Fuzzy number,Mathematics | Journal |
Volume | Issue | ISSN |
26 | 5 | 1063-6706 |
Citations | PageRank | References |
1 | 0.35 | 27 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Gholamreza Hesamian | 1 | 69 | 15.53 |
| Mohammad Ghasem Akbari | 2 | 31 | 12.04 |