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Predictive Analytics for Business using R

Author

Listed:
  • Russell R Barton

    (The Pennsylvania State University, USA)

Abstract

The fields of mathematical statistics, statistical graphics, computer science and operations research have created the rich set of methods now called Analytics. Often analytics is characterized along three poles: descriptive analytics (what do data tell us), predictive analytics (what can be forecast based on the data, and with what certainty), and prescriptive analytics (how can the data inform changes to improve system performance).

Suggested Citation

  • Russell R Barton, 2024. "Predictive Analytics for Business using R," World Scientific Books, World Scientific Publishing Co. Pte. Ltd., number 13856, August.
    • Handle: RePEc:wsi:wsbook:13856
    as

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    File URL: https://www.worldscientific.com/worldscibooks/10.1142/13856
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    More about this item

    Keywords

    Predictive Analytics; Business Analytics; Business Intelligence; Predictive Modeling; Modeling Techniques; Machine Learning; Regression; ANOVA; Forecasting; Neural Networks; Nonlinear Regression; Gaussian Process; Time Series; Discrete-Event Simulation; Cross-Validation; Regression Diagnostics; R Programming;
    All these keywords.

    JEL classification:

    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • D7 - Microeconomics - - Analysis of Collective Decision-Making
    • C44 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Operations Research; Statistical Decision Theory

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