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Forecasting

Forecasting is the process of making predictions based on past and present data. These forecasts can later be compared with actual outcomes. For example, a company might estimate their revenue in the next year, then compare it against the actual results creating a variance actual analysis. Prediction is a similar but more general term. Forecasting might…

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Overview

Applications

Forecasting as training, betting and futarchy

Forecast improvements

Categories of forecasting methods

Forecasting accuracy

Limitations

Sources

Advanced semantic analysis

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Map overview Semantic statistics

Forecasting

Nodes125
Edges124
Triples209
Avg. degree1.98
Density0.016
Components1

How this topic connects Entity context

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Forecasting

Top relations

related to Sources · 108
Forecasting → Al Saud, An Introduction, Andersson, Angela Sasic, Anne, Another, Applications, Armstrong, August, Behnam, Berglund, Bibcode, Bjorn Henry, Building Energy Management, Building Engineering, Building Physics, Buildings, Cari, Chapman, Cite
has method · 20
Forecasting → ARIMA, Delphi, Double Exponential Smooth, Ensemble, Examples, For, GMDH, Granger, In, Judgmental, N-Period, Poisson, Previous, Qualitative, Quantitative, Several, Single Exponential Smooth, Some, These, They
related to External links · 15
Forecasting → Analysis, Engineering Statistics Handbook, Evidence-based, ForecastersIntroduction, Forecasting Archived, IFsEarthquake Electromagnetic Precursor ResearchForecasting, International Institute, Media, Science, Series AnalysisGlobal Forecasting, Theory, Time, Wayback Machine, Wikimedia CommonsForecasting Principles, Wiktionary-logo-en-v2
related to Forecast improvements · 11
Forecasting → Du Pont, Energy, Forecast, Forecast Improvement Project, HFIP, In, National Hurricane Center's Hurricane, The Groceries Code Adjudicator, United Kingdom, US Department, Wind Forecast Improvement Project
related to Limitations · 9
Forecasting → Events, For, HIV, Limitations, Or, The, There, This, When
related to Forecasting as training, betting and futarchy · 8
Forecasting → In, In Philip, Or, Prediction, Science, Some, Tetlock's Superforecasting, The Art
related to Seasonality · 8
Forecasting → An, Any, Exponential Smoothing, In, It, Medical Examiner's, Moving Average, Seasonality
has application · 5
Forecasting → Climate, Depending, Egain Forecasting, If, This
related to Naïve approach · 5
Forecasting → If, In, Naïve, This, Using
related to Forecastability · 4
Forecasting → Forecastability, In, See, Some

Important terminology Word statistics

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Important terminology

data forecast prediction forecasts time used accuracy series methods future method example seasonal isbn planning past demand approach error use

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
Forecastingis aprocess of making predictions based on past and present data0.90text
Forecastingis atransferable skill with benefits to other areas of discussion and decision making0.90text
Single Exponential Smoothinstance ofGMDH neural network was found to have better forecasting performance than the classical forecasting algorithms0.80text
Double Exponential Smoothinstance ofGMDH neural network was found to have better forecasting performance than the classical forecasting algorithms0.80text
ARIMAinstance ofGMDH neural network was found to have better forecasting performance than the classical forecasting algorithms0.80text
back-propagation neural network.Average approachIn this approachinstance ofGMDH neural network was found to have better forecasting performance than the classical forecasting algorithms0.80text
the predictions of all future values are equal to the mean of the past datainstance ofGMDH neural network was found to have better forecasting performance than the classical forecasting algorithms0.80text
back-propagation neural networkinstance ofGMDH neural network was found to have better forecasting performance than the classical forecasting algorithms0.80text
the roll of a die or the results of the lottery cannot be forecast because they are random eventsinstance ofEvents0.80text
there is no significant relationship in the datainstance ofEvents0.80text
in stockinstance ofWhen the factors that lead to what is being forecast are not known or well understood0.80text
foreign exchange markets forecasts are often inaccurate or wrong as there is not enough data about everything that affects these markets for the forecasts to be reliableinstance ofWhen the factors that lead to what is being forecast are not known or well understood0.80text

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