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  2. FAME (database) - Wikipedia

    en.wikipedia.org/wiki/FAME_(database)

    FAME Desktop Add-in for Excel: FAME Desktop is an Excel add-in that supports the =FMD(expression, sd, ed,0, freq, orientation) and =FMS(expression, freq + date) formulas, just as the 4GL command prompt does. These formulas can be placed in Excel spreadsheets and are linked to FAME objects and analytics stored on a FAME server. Sample Excel ...

  3. History of numerical weather prediction - Wikipedia

    en.wikipedia.org/wiki/History_of_numerical...

    In 1904, Vilhelm Bjerknes derived a two-step procedure for model-based weather forecasting. First, a diagnostic step is used to process data to generate initial conditions, which are then advanced in time by a prognostic step that solves the initial value problem. [2]

  4. Weather forecasting - Wikipedia

    en.wikipedia.org/wiki/Weather_forecasting

    The data are then used in the model as the starting point for a forecast. [51] Commonly, the set of equations used to predict the physics and dynamics of the atmosphere are called primitive equations. These are initialized from the analysis data and rates of change are determined.

  5. Numerical weather prediction - Wikipedia

    en.wikipedia.org/wiki/Numerical_weather_prediction

    Weather reconnaissance aircraft, such as this WP-3D Orion, provide data that is then used in numerical weather forecasts.. The atmosphere is a fluid.As such, the idea of numerical weather prediction is to sample the state of the fluid at a given time and use the equations of fluid dynamics and thermodynamics to estimate the state of the fluid at some time in the future.

  6. 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. Prediction is a similar but more general term.

  7. Backtesting - Wikipedia

    en.wikipedia.org/wiki/Backtesting

    Historically, backtesting was only performed by large institutions and professional money managers due to the expense of obtaining and using detailed datasets. However, backtesting is increasingly used on a wider basis, and independent web-based backtesting platforms have emerged. Although the technique is widely used, it is prone to weaknesses ...

  8. Predictive modelling - Wikipedia

    en.wikipedia.org/wiki/Predictive_modelling

    The rating can take on discrete values from AAA down to D. The rating is a predictor of the risk of default based on a variety of variables associated with the borrower and historical macroeconomic data. The rating agencies failed with their ratings on the US$600 billion mortgage backed Collateralized Debt Obligation market. Almost the entire ...

  9. Predictive analytics - Wikipedia

    en.wikipedia.org/wiki/Predictive_analytics

    ARIMA univariate and multivariate models can be used in forecasting a company's future cash flows, with its equations and calculations based on the past values of certain factors contributing to cash flows. Using time-series analysis, the values of these factors can be analyzed and extrapolated to predict the future cash flows for a company.