Forecasting container throughput of Qingdao Port with a hybrid model

DOI10.1007/S11424-014-3188-4zbMath1310.93065OpenAlexW2038672906MaRDI QIDQ2341610

Yinhua Li, Anqiang Huang, Shou-Yang Wang, Kin Keung Lai

Publication date: 27 April 2015

Published in: Journal of Systems Science and Complexity (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11424-014-3188-4

zbMATH Keywords

projection pursuit regressioncontainer throughput forecastgenetic programming algorithmoutlier processing

Mathematics Subject Classification ID

Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Transportation, logistics and supply chain management (90B06) Approximation methods and heuristics in mathematical programming (90C59) Application models in control theory (93C95) Stochastic systems in control theory (general) (93E03)

Related Items (1)

A novel hybrid decomposition-ensemble model based on VMD and HGWO for container throughput forecasting

Uses Software

• LOF
• Orca

Cites Work

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• Projection pursuit exploratory data analysis
• Novelty detection: a review. I. Statistical approaches
• Novelty detection: a review. II. Neural network based approaches
• Moderate projection pursuit regression for multivariate response data
• Wavelet transform based multifractal formalism in outlier detection and localisation for financial time series
• Genetic algorithms for outlier detection and variable selection in linear regression models
• A survey of outlier detection methodologies
• Wavelet-based detection of outliers in financial time series
• Bayesian outlier detection with Dirichlet process mixtures
• Genetic algorithms for outlier detection in multiple regression with different information criteria
• On Nonlinear Functions of Linear Combinations
• Outlier..........s
• A Bayesian approach to outlier detection and residual analysis
• Robust Estimation of the First-Order Autoregressive Parameter
• Generalized projection pursuit regression
• BAYESIAN ANALYSIS OF AUTOREGRESSIVE TIME SERIES VIA THE GIBBS SAMPLER
• Bayesian outlier detection in Capital Asset Pricing Model
• Genetic algorithms for the identification of additive and innovation outliers in time series

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