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Monthly catch forecasting of anchovy Engraulis ringens in the north area of Chile: Non-linear univariate approach
8 references·0 citing·32 second hop
Monthly catch forecasting of anchovy Engraulis ringens in the north area of Chile: Non-linear univariate approach (2007)Monthly catch forecasting of anchovy Engr…Time series forecasting using a hybrid ARIMA and neural network model (2003)Time series forecasting using…An investigation of model selection criteria for neural network time series forecasting (2001)An investigation of model sel…Neural networks and traditional time series methods: a synergistic combination in state economic forecasts (1997)Neural networks and tradition…Modelling and forecasting monthly fisheries catches: comparison of regression, univariate and multivariate time series methods (1997)Modelling and forecasting mon…Time series forecasting by combining RBF networks, certainty factors, and the Box-Jenkins model (1996)Time series forecasting by co…Forecasting methods and applications (1993)Forecasting methods and appli…Forecasting: Methods and applications (1984)Forecasting: Methods and appl…Time Series Analysis: Forecasting and Control (1977)Time Series Analysis: Forecas…Empirical exchange rate models of the seventies (1983)Forecasting with artificial neural networks: (1998)Time Series Forecasting with Neural Networks: A Comparative Study Using the Air Line Data (1998)Using neural networks for forecasting volatility of S&P 500 Index futures prices (2003)Neural Network Forecasting of Tourism Demand (2005)Quarterly Time-Series Forecasting With Neural Networks (2007)Forecasting Sales by Exponentially Weighted Moving Averages (1960)Time-series modeling of fishery landings using ARIMA models and Fuzzy Expected Intervals software (2005)Short-term forecasting of halibut CPUE: Linear and non-linear univariate approaches (2007)Complexity is costly: a meta‐analysis of parametric and non‐parametric methods for short‐term population forecasting (2014)Statistical Methods for Forecasting. (1984)A novel text mining approach to financial time series forecasting (2011)Comparative Study of Four Time Series Methods in Forecasting Typhoid Fever Incidence in China (2013)Forecasting stock index returns using ARIMA-SVM, ARIMA-ANN, and ARIMA-random forest hybrid models (2014)Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation (1982)A hybrid ARIMA and support vector machines model in stock price forecasting (2004)A novel hybridization of artificial neural networks and ARIMA models for time series forecasting (2010)Recurrent Neural Networks for Time Series Forecasting: Current status and future directions (2020)Time Series Analysis Forecasting and Control. (1971)Combining forecasts: A review and annotated bibliography (1989)A simple neural network for ARMA(p,q) time series (2001)An intelligent fast sales forecasting model for fashion products (2010)Support vector regression with modified firefly algorithm for stock price forecasting (2018)The accuracy of extrapolation (time series) methods: Results of a forecasting competition (1982)25 years of time series forecasting (2006)Statistical and Machine Learning forecasting methods: Concerns and ways forward (2018)Forecasting, planning and strategy for the 21st century (1991)Residential property price time series forecasting with neural networks (2002)Electricity consumption and associated GHG emissions of the Jordanian industrial sector: Empirical analysis and future projection (2007)Distribution of the Estimators for Autoregressive Time Series with a Unit Root (1979)Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root (1981)Generalized autoregressive conditional heteroskedasticity (1986)
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References

  • 1977Time Series Analysis: Forecasting and Control19,200 cited
  • 2003Time series forecasting using a hybrid ARIMA and neural network model4,469 cited
  • 1993Forecasting methods and applications2,393 cited
  • 2001An investigation of model selection criteria for neural network time series forecasting257 cited
  • 1997Modelling and forecasting monthly fisheries catches: comparison of regression, univariate and multivariate time series methods161 cited
  • 1996Time series forecasting by combining RBF networks, certainty factors, and the Box-Jenkins model144 cited
  • 1997Neural networks and traditional time series methods: a synergistic combination in state economic forecasts138 cited
  • 1984Forecasting: Methods and applications105 cited

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