Statistical inference for time series with non-precise data
From MaRDI portal
Publication:2302790
DOI10.1016/j.ijar.2019.08.002zbMath1471.62468OpenAlexW2969664529WikidataQ127372771 ScholiaQ127372771MaRDI QIDQ2302790
Publication date: 26 February 2020
Published in: International Journal of Approximate Reasoning (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.ijar.2019.08.002
consistencynormalityasymptotic relative efficiencyfuzzy time seriesfuzzy autoregressive modelfuzzy least squares estimation
Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Inference from stochastic processes and fuzziness (62M86)
Cites Work
- Fuzzy least squares
- Asymptotic properties of least squares estimation for a new fuzzy autoregressive model
- A unified approach to asymptotic behaviors for the autoregressive model with fuzzy data
- Long-term forecasting of time series based on linear fuzzy information granules and fuzzy inference system
- Short-term load forecasting method based on fuzzy time series, seasonality and long memory process
- Analysis of dynamical systems whose inputs are fuzzy stochastic processes
- The strong law of large numbers for fuzzy random variables
- Fuzzy random variables - II. Algorithms and examples for the discrete case
- Time series: theory and methods.
- General fuzzy least squares
- Fuzzy time series and its models
- Extended fuzzy linear models and least squares estimates
- Designing fuzzy time series forecasting models: a survey
- Long-term prediction of time series based on stepwise linear division algorithm and time-variant zonary fuzzy information granules
- Asymptotic properties of least squares estimation with fuzzy observations
- Fuzzy relation analysis in fuzzy time series model
- Approximation Theorems of Mathematical Statistics
- Fuzzy sets
- On the Statistical Treatment of Linear Stochastic Difference Equations
- Fuzzy random variables
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
