Wolfram Computation Meets Knowledge

Instructor-Led Course

Applied Statistical Analysis

Level: Intermediate

This course provides experience with the statistical tools that are available in the Wolfram Language. Topics include import and export of data, preliminary data analysis, descriptive statistics and distribution fitting, regression analysis, diagnostic testing, stochastic processes and time series modeling. Course topics are presented in sessions of lectures with small class size and ample opportunity for Q&A. The course is for those who have a basic working knowledge of the Wolfram Language and statistics.

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Outline

  • Statistical Distributions
    Properties and simulation of distributions, preliminary data analysis including descriptive statistics, visualization and fitting of data to underlying named and user-defined distributions.
  • Curve Fitting
    Linear and nonlinear model fitting. Comparison of models and various diagnostic tests are illustrated.
  • Advanced Curve Fitting
    Generalized linear models, piecewise continuous models, spline smoothing and automated curve fitting.
  • Random Processes
    Simulation, properties, classification, estimation and applications.
  • Time Series Processing
    Time series construction, dealing with missing data and irregularity, operations on time series.
  • Time Series Modeling
    Various time series models, fitting time series models, model selection, forecasting, prediction limits.