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  2. Predictive modelling - Wikipedia

    en.wikipedia.org/wiki/Predictive_modelling

    Predictive modelling uses statistics to predict outcomes. [1] Most often the event one wants to predict is in the future, but predictive modelling can be applied to any type of unknown event, regardless of when it occurred. For example, predictive models are often used to detect crimes and identify suspects, after the crime has taken place. [2]

  3. Predictive analytics - Wikipedia

    en.wikipedia.org/wiki/Predictive_analytics

    The core of predictive analytics relies on capturing relationships between explanatory variables and the predicted variables from past occurrences, and exploiting them to predict the unknown outcome. It is important to note, however, that the accuracy and usability of results will depend greatly on the level of data analysis and the quality of ...

  4. The Keys to the White House - Wikipedia

    en.wikipedia.org/wiki/The_Keys_to_the_White_House

    The Keys to the White House, also known as the 13 keys, is a prediction system for determining the outcome of presidential elections in the United States.It was developed by American historian Allan Lichtman and Russian geophysicist Vladimir Keilis-Borok in 1981, adapting methods that Keilis-Borok designed for earthquake prediction.

  5. Political forecasting - Wikipedia

    en.wikipedia.org/wiki/Political_forecasting

    Other types of forecasting include forecasting models designed to predict the outcomes of international relations or bargaining events. One notable example is the expected utility model developed by American political scientist Bruce Bueno de Mesquita, which solves for the Bayesian Perfect Equilibria outcome of unidimensional policy events ...

  6. Trend analysis - Wikipedia

    en.wikipedia.org/wiki/Trend_analysis

    In project management, trend analysis is a mathematical technique that uses historical results to predict future outcome. This is achieved by tracking variances in cost and schedule performance. This is achieved by tracking variances in cost and schedule performance.

  7. Polling for United States presidential elections - Wikipedia

    en.wikipedia.org/wiki/Polling_for_United_States...

    [1] [2] Gallup polling has often been accurate in predicting the outcome of presidential elections and the margin of victory for the winner. [3] However, it missed some close elections: 1948, 1976 and 2004, the popular vote in 2000, and the likely-voter numbers in 2012. [3]

  8. Prediction market - Wikipedia

    en.wikipedia.org/wiki/Prediction_market

    The main purpose of an election stock market is to predict the election outcome, such as the share of the popular vote or share of seats each political party receives in a legislature or parliament. Before World War II , election betting was widespread in the U.S., dating back to George Washington ’s election and becoming organized by Lincoln ...

  9. 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. 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.