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  2. Unified Model - Wikipedia

    en.wikipedia.org/wiki/Unified_model

    Run out to 36 hours (this replaced the UK 4 km model in 2011). The forecast is run every 3 hours using boundary conditions from the 25-km global model. [13] The resolution is 1.5 km over the UK, and 4 km over surrounding areas. [14] [15] The UKV model is kept close to observations using 3D-Var data assimilation every 3 hours.

  3. 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 ...

  4. Financial modeling - Wikipedia

    en.wikipedia.org/wiki/Financial_modeling

    Financial modeling is the task of building an abstract representation (a model) of a real world financial situation. [1] This is a mathematical model designed to represent (a simplified version of) the performance of a financial asset or portfolio of a business, project, or any other investment.

  5. Centre for Economics and Business Research - Wikipedia

    en.wikipedia.org/wiki/Centre_for_Economics_and...

    Cebr was founded in 1992 by Douglas McWilliams, a former Chief Economic Adviser to the Confederation of British Industry and Chief Economist for IBM (UK), [2] in the year that he won the Sunday Times Golden Guru Award for best United Kingdom economic forecaster. [3] McWilliams was later the Gresham College professor of business. [2] [4]

  6. Dynamic lot-size model - Wikipedia

    en.wikipedia.org/wiki/Dynamic_lot-size_model

    The dynamic lot-size model in inventory theory, is a generalization of the economic order quantity model that takes into account that demand for the product varies over time. The model was introduced by Harvey M. Wagner and Thomson M. Whitin in 1958.

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  8. Autoregressive integrated moving average - Wikipedia

    en.wikipedia.org/wiki/Autoregressive_integrated...

    In time series analysis used in statistics and econometrics, autoregressive integrated moving average (ARIMA) and seasonal ARIMA (SARIMA) models are generalizations of the autoregressive moving average (ARMA) model to non-stationary series and periodic variation, respectively.

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