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  2. Extrapolation - Wikipedia

    en.wikipedia.org/wiki/Extrapolation

    French curve extrapolation is a method suitable for any distribution that has a tendency to be exponential, but with accelerating or decelerating factors. [3] This method has been used successfully in providing forecast projections of the growth of HIV/AIDS in the UK since 1987 and variant CJD in the UK for a number of years.

  3. Nowcasting (meteorology) - Wikipedia

    en.wikipedia.org/wiki/Nowcasting_(meteorology)

    The short term forecast is as old as weather forecasting itself. During the nineteenth century, the first modern meteorologists were using extrapolation methods for predicting the movement of low pressure systems and anticyclones on surface maps. The researchers subsequently applied the laws of fluid dynamics to the atmosphere and developed the ...

  4. Forecasting - Wikipedia

    en.wikipedia.org/wiki/Forecasting

    Forecasting is the process of making predictions based on past and present data. Later these can be compared with what actually happens. For example, a company might estimate their revenue in the next year, then compare it against the actual results creating a variance actual analysis.

  5. Technology forecasting - Wikipedia

    en.wikipedia.org/wiki/Technology_forecasting

    Commonly adopted methods and tools of technology forecasting include the Moore's law, [9] Write's law and Goddard law, [10] which generate quantitative assessments for technology progress, the Delphi method, forecast by analogy, growth curves, extrapolation and horizon scanning.

  6. Delphi method - Wikipedia

    en.wikipedia.org/wiki/Delphi_method

    The Delphi method or Delphi technique (/ ˈ d ɛ l f aɪ / DEL-fy; also known as Estimate-Talk-Estimate or ETE) is a structured communication technique or method, originally developed as a systematic, interactive forecasting method that relies on a panel of experts.

  7. Regression analysis - Wikipedia

    en.wikipedia.org/wiki/Regression_analysis

    Prediction outside this range of the data is known as extrapolation. Performing extrapolation relies strongly on the regression assumptions. The further the extrapolation goes outside the data, the more room there is for the model to fail due to differences between the assumptions and the sample data or the true values.

  8. Time series - Wikipedia

    en.wikipedia.org/wiki/Time_series

    Time series analysis comprises methods for analyzing time series data in order to extract meaningful statistics and other characteristics of the data. Time series forecasting is the use of a model to predict future values based on previously observed values.

  9. Telecommunications forecasting - Wikipedia

    en.wikipedia.org/wiki/Telecommunications_forecasting

    ExtrapolationExtrapolation is the usual method of forecasting. It is based on the assumption that future events will continue to develop along the same boundaries as previous events i.e. the past is a good predictor of the future.