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Modelling and forecasting monthly fisheries catches: comparison of regression, univariate and multivariate time series methods
7 references·3 citing·31 second hop
Modelling and forecasting monthly fisheries catches: comparison of regression, univariate and multivariate time series methods (1997)Modelling and forecasting monthly fisheri…Forecasting methods and applications (1993)Forecasting methods and appli…Exponential smoothing: The state of the art (1985)Exponential smoothing: The st…Improving Economic Forecasting With Bayesian Vector Autoregression (1984)Improving Economic Forecastin…Techniques of Forecasting Using Vector Autoregressions (1979)Techniques of Forecasting Usi…Time Series Analysis: Forecasting and Control (1977)Time Series Analysis: Forecas…Applied Economic Forecasting (1967)Applied Economic ForecastingForecasting Sales by Exponentially Weighted Moving Averages (1960)Forecasting Sales by Exponent…Complexity is costly: a meta‐analysis of parametric and non‐parametric methods for short‐term population forecasting (2014)Complexity is costly: a meta‐…Monthly catch forecasting of anchovy Engraulis ringens in the north area of Chile: Non-linear univariate approach (2007)Monthly catch forecasting of …Time-series modeling of fishery landings using ARIMA models and Fuzzy Expected Intervals software (2005)Time-series modeling of fishe…Econometric policy evaluation: A critique (1976)Estimation of Dynamic Labor Demand Schedules under Rational Expectations (1978)Formulating and estimating dynamic linear rational expectations models (1980)Energy consumption in China: past trends and future directions (2004)The Financial and Macroeconomic Effects of OMT Announcements (2014)How is machine learning useful for macroeconomic forecasting? (2022)Macroeconomics and Reality (1980)Forecasting and Conditional Projection Using Realistic Prior Distributions (1983)Forecasting With Bayesian Vector Autoregressions—Five Years of Experience (1986)The Expansion Method, Mathematical Modeling, and Spatial Econometrics (1997)“Ripple effects” and forecasting home prices in Los Angeles, Las Vegas, and Phoenix (2010)The Time-Series Properties of House Prices: A Case Study of the Southern California Market (2010)Decision support systems and intelligent systems (1997)Time series forecasting using a hybrid ARIMA and neural network model (2003)A state space framework for automatic forecasting using exponential smoothing methods (2002)25 years of time series forecasting (2006)Another look at measures of forecast accuracy (2006)The Future of Predictive Ecology (2019)Increased adoption of best practices in ecological forecasting enables comparisons of forecastability (2021)Ecological Complexity (2023)Time Series Analysis: Forecasting and Control (1977)Forecasting Economic Time Series (2000)Forecasting Time Series With Complex Seasonal Patterns Using Exponential Smoothing (2011)The accuracy of extrapolation (time series) methods: Results of a forecasting competition (1982)Statistical and Machine Learning forecasting methods: Concerns and ways forward (2018)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)Extreme Correlation of International Equity Markets (2001)Forecasting Volatility in Financial Markets: A Review (2003)Introductory Econometrics for Finance (2008)
this work references cited by second hop

References

  • 1977Time Series Analysis: Forecasting and Control19,200 cited
  • 1993Forecasting methods and applications2,393 cited
  • 1960Forecasting Sales by Exponentially Weighted Moving Averages2,117 cited
  • 1985Exponential smoothing: The state of the art1,461 cited
  • 1967Applied Economic Forecasting1,206 cited
  • 1979Techniques of Forecasting Using Vector Autoregressions294 cited
  • 1984Improving Economic Forecasting With Bayesian Vector Autoregression168 cited

Cited by

  • 2014Complexity is costly: a meta‐analysis of parametric and non‐parametric methods for short‐term population forecasting124 cited
  • 2007Monthly catch forecasting of anchovy Engraulis ringens in the north area of Chile: Non-linear univariate approach77 cited
  • 2005Time-series modeling of fishery landings using ARIMA models and Fuzzy Expected Intervals software69 cited

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