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  2. Predictability - Wikipedia

    en.wikipedia.org/wiki/Predictability

    Predictability is the degree to which a correct prediction or forecast of a system's state can be made, either qualitatively or quantitatively. Predictability and causality [ edit ]

  3. Predictive analytics - Wikipedia

    en.wikipedia.org/wiki/Predictive_analytics

    Predictive analytics is a set of business intelligence (BI) technologies that uncovers relationships and patterns within large volumes of data that can be used to predict behavior and events. Unlike other BI technologies, predictive analytics is forward-looking, using past events to anticipate the future. [ 3 ]

  4. Business and management research - Wikipedia

    en.wikipedia.org/wiki/Business_and_management...

    Business and management research is a systematic inquiry that helps to solve business problems and contributes to management knowledge. It Is an applied research. Four factors (Easterby-Smith, 2008) combine to make business and management a distinctive focus for research : Transdiscipline approach

  5. Randomness - Wikipedia

    en.wikipedia.org/wiki/Randomness

    Individual random events are, by definition, unpredictable, but if there is a known probability distribution, the frequency of different outcomes over repeated events (or "trials") is predictable. [note 1] For example, when throwing two dice, the outcome of any particular roll is unpredictable, but a sum of 7 will tend to occur twice as often ...

  6. Predictive modelling - Wikipedia

    en.wikipedia.org/wiki/Predictive_modelling

    Predictive modeling in trading is a modeling process wherein the probability of an outcome is predicted using a set of predictor variables. Predictive models can be built for different assets like stocks, futures, currencies, commodities etc. [ citation needed ] Predictive modeling is still extensively used by trading firms to devise strategies ...

  7. 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.

  8. Backcasting - Wikipedia

    en.wikipedia.org/wiki/Backcasting

    Backcasting from principles is used within the world of creation, design, policy, strategy, science and are seen as principles or constraints which define success [citation needed]. Contrary to backcasting from scenarios, which uses defined scenario's or visuals of a future, it uses principles to be met to define a desired future.

  9. Prediction - Wikipedia

    en.wikipedia.org/wiki/Prediction

    In a non-statistical sense, the term "prediction" is often used to refer to an informed guess or opinion.. A prediction of this kind might be informed by a predicting person's abductive reasoning, inductive reasoning, deductive reasoning, and experience; and may be useful—if the predicting person is a knowledgeable person in the field.

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