Bootstrap Type-1 Fuzzy Functions Approach for Time Series Forecasting

DOI10.1007/978-3-319-73241-1_5zbMath1397.62363OpenAlexW2786112828MaRDI QIDQ4689250

Erol Eğrioğlu, Ali Zafer Dalar

Publication date: 15 October 2018

Published in: Contributions to Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-319-73241-1_5

zbMATH Keywords

forecastingsubsamplingbootstrap methodsstock and bond exchangetype-1 fuzzy functions approach

Mathematics Subject Classification ID

Applications of statistics to economics (62P20) Inference from stochastic processes and prediction (62M20) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Bootstrap, jackknife and other resampling methods (62F40) Inference from stochastic processes and fuzziness (62M86)

Related Items (3)

Intuitionistic fuzzy ridge regression functions ⋮ Type-1 possibilistic fuzzy forecasting functions ⋮ Picture fuzzy regression functions approach for financial time series based on ridge regression and genetic algorithm

Uses Software

• bootstrap
• bootlib

Cites Work

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