SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
Forecasting Data Published at Irregular Time Intervals Using an Extension of Holt's Method
3 references·2 citing·22 second hop
Forecasting Data Published at Irregular Time Intervals Using an Extension of Holt's Method (1986)Forecasting Data Published at Irregular T…Quantitative Forecasting -- The State of the Art: Extrapolative Models (1979)Quantitative Forecasting -- T…Forecasting and Stock Control for Intermittent Demands (1972)Forecasting and Stock Control…Smoothing, Forecasting and Prediction of Discrete Time Series. (1964)Smoothing, Forecasting and Pr…Elucidate structure in intermittent demand series (2020)Elucidate structure in interm…An Effective Method for Online Disease Risk Monitoring (2019)An Effective Method for Onlin…Planning Production, Inventories, and Work Force. (1962)Time Series Analysis: Forecasting and Control (1977)An evaluation of bayesian forecasting (1983)Commentary on the makridakis time series competition (M‐competition) (1983)Judgemental revision of sales forecasts: A longitudinal eetension (1989)Forecasting Economic Time Series (2000)Cumulative Sum Charts and Charting for Quality Improvement (1998)Univariate Dynamic Screening System: An Approach For Identifying Individuals With Irregular Longitudinal Behavior (2013)Introduction to Statistical Process Control (2014)Online disease risk monitoring using DEWMA control chart (2021)Dynamic Disease Screening by Joint Modelling of Survival and Longitudinal Data (2022)Forecasting principles and practiceStrictly Proper Scoring Rules, Prediction, and Estimation (2007)DeepAR: Probabilistic forecasting with autoregressive recurrent networks (2019)Cross‐item learning for volatile demand forecasting: An intervention with predictive analytics (2021)Forecasting intermittent and sparse time series: A unified probabilistic framework via deep renewal processes (2021)Combining probabilistic forecasts of intermittent demand (2024)25 years of time series forecasting (2006)Automatic Time Series Forecasting: The forecast Package for R (2008)Low frequency filtering and real business cycles (1993)An overview of methods for determining OWA weights (2005)Exponential smoothing: The state of the art—Part II (2006)
this work references cited by second hop

References

  • 1964Smoothing, Forecasting and Prediction of Discrete Time Series.968 cited
  • 1972Forecasting and Stock Control for Intermittent Demands761 cited
  • 1979Quantitative Forecasting -- The State of the Art: Extrapolative Models74 cited

Cited by

  • 2020Elucidate structure in intermittent demand series54 cited
  • 2019An Effective Method for Online Disease Risk Monitoring19 cited

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work