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VEE

VEE-Applied Statistical Methods

The following guidelines for the Validation by Educational Experience (VEE) requirement for Applied Statistical Methods will be used by the VEE Administration Committee to determine whether specific courses or educational experiences are appropriate to fulfill the VEE requirements.

Courses that meet the requirement for VEE-Applied Statistical Methods may be taught in the mathematics, statistics, or economics department, or in the business school. In economics departments, this course may be called Econometrics. The material could be covered by one course or two. The level of mathematical sophistication of these courses will vary widely and all levels are intended to be acceptable. Most of the topics listed below should be covered:

Regression analysis

  1. Least square estimates of parameters
  2. Single linear regression
  3. Multiple linear regression
  4. Hypothesis testing and confidence intervals in linear regression models
  5. Testing of models, data analysis, and appropriateness of models
Time series/forecasting
  1. Linear time series models
  2. Moving average, autoregressive, and/or ARIMA models
  3. Estimation, data analysis, and forecasting with time series models
  4. Forecast errors and confidence intervals
Specific questions may be sent to vee@soa.org.

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