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Seasonal decomposition and forecasting of telecommunication data: A comparative case study
7 references·1 citing·21 second hop
Seasonal decomposition and forecasting of telecommunication data: A comparative case study (2005)Seasonal decomposition and forecasting of…Introduction to Time Series Analysis and Forecasting: With Applications of SAS and SPSS (2000)Introduction to Time Series A…Forecasting: Methods and Applications (1999)Forecasting: Methods and Appl…Forecasting methods and applications (1993)Forecasting methods and appli…Exponential smoothing: The state of the art (1985)Exponential smoothing: The st…The accuracy of extrapolation (time series) methods: Results of a forecasting competition (1982)The accuracy of extrapolation…Time Series Analysis: Forecasting and Control (1977)Time Series Analysis: Forecas…Forecasting Sales by Exponentially Weighted Moving Averages (1960)Forecasting Sales by Exponent…Supply Chain Demand Forecasting; A Comparison of Machine Learning Techniques and Traditional Methods (2009)Supply Chain Demand Forecasti…Forecasting and Stock Control for Intermittent Demands (1972)Neural Network Models for Time Series Forecasts (1996)Forecasting with artificial neural networks: (1998)Time Series Analysis: Forecasting and Control (1977)Forecasting Economic Time Series (2000)A state space framework for automatic forecasting using exponential smoothing methods (2002)Forecasting Time Series With Complex Seasonal Patterns Using Exponential Smoothing (2011)The Combination of Forecasts (1969)Combining forecasts: A review and annotated bibliography (1990)Error measures for generalizing about forecasting methods: Empirical comparisons (1992)Rally 'Round the Union Jack? Public Opinion and the Use of Force in the United Kingdom, 1948-2001 (2005)The link between unemployment and crime rate fluctuations: An analysis at the county, state, and national levels (2012)SARIMA modelling approach for railway passenger flow forecasting (2016)25 years of time series forecasting (2006)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)The theta model: a decomposition approach to forecasting (2000)Improved supply chain management based on hybrid demand forecasts (2005)Can Google data improve the forecasting performance of tourist arrivals? Mixed-data sampling approach (2014)
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
  • 1982The accuracy of extrapolation (time series) methods: Results of a forecasting competition1,465 cited
  • 1985Exponential smoothing: The state of the art1,461 cited
  • 1999Forecasting: Methods and Applications626 cited
  • 2000Introduction to Time Series Analysis and Forecasting: With Applications of SAS and SPSS416 cited

Cited by

  • 2009Supply Chain Demand Forecasting; A Comparison of Machine Learning Techniques and Traditional Methods37 cited

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