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  2. Forecasting - Wikipedia

    en.wikipedia.org/wiki/Forecasting

    Forecasting can be described as predicting what the future will look like, whereas planning predicts what the future should look like. [6] There is no single right forecasting method to use. Selection of a method should be based on your objectives and your conditions (data etc.). [9] A good way to find a method is by visiting a selection tree.

  3. 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.

  4. Glossary of mathematical jargon - Wikipedia

    en.wikipedia.org/wiki/Glossary_of_mathematical...

    A synonym for a function between sets or a morphism in a category. Depending on authors, the term "maps" or the term "functions" may be reserved for specific kinds of functions or morphisms (e.g., function as an analytic term and map as a general term). mathematics See mathematics. multivalued

  5. Forecast - Wikipedia

    en.wikipedia.org/wiki/Forecast

    Forecasting, the process of making statements about events which have not yet been observed Forecast error; Forecast skill; Weather forecasting, the application of science and technology to predict the weather; FORECAST (model), system for managing ecosystems and forest growth; Forecast period (finance)

  6. Time series - Wikipedia

    en.wikipedia.org/wiki/Time_series

    Time series forecasting is the use of a model to predict future values based on previously observed values. Generally, time series data is modelled as a stochastic process .

  7. Glossary of probability and statistics - Wikipedia

    en.wikipedia.org/wiki/Glossary_of_probability...

    Also confidence coefficient. A number indicating the probability that the confidence interval (range) captures the true population mean. For example, a confidence interval with a 95% confidence level has a 95% chance of capturing the population mean. Technically, this means that, if the experiment were repeated many times, 95% of the CIs computed at this level would contain the true population ...

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  9. Predictive modelling - Wikipedia

    en.wikipedia.org/wiki/Predictive_modelling

    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 and trade. It utilizes mathematically advanced software to evaluate indicators on price, volume, open interest and other historical data, to ...