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ST 662

Adv Regression Analysis

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This course provides a broad overview of modern statistical methods for regression analysis. Statistical methodology may include generalized linear models, generalized additive models, multilevel modelling, nonparametric methods and an introduction to survival analysis. Prerequisites: ST562 or equivalent. Exclusions: MA645, MA686D, MA348, ST462.

This course provides a broad overview of modern statistical methods for regression analysis. Statistical methodology may include generalized linear models, generalized additive models, multilevel modelling, nonparametric methods and an introduction to survival analysis. Prerequisites: ST562 or equivalent. Exclusions: MA645, MA686D, MA348, ST462.

0%Liked

Easy

0%

Useful

0%

0 ratings

This course provides a broad overview of modern statistical methods for regression analysis. Statistical methodology may include generalized linear models, generalized additive models, multilevel modelling, nonparametric methods and an introduction to survival analysis. Prerequisites: ST562 or equivalent. Exclusions: MA645, MA686D, MA348, ST462.

ST 662

Adv Regression Analysis

0%Liked

Easy

0%

Useful

0%

0 ratings

This course provides a broad overview of modern statistical methods for regression analysis. Statistical methodology may include generalized linear models, generalized additive models, multilevel modelling, nonparametric methods and an introduction to survival analysis. Prerequisites: ST562 or equivalent. Exclusions: MA645, MA686D, MA348, ST462.

This course provides a broad overview of modern statistical methods for regression analysis. Statistical methodology may include generalized linear models, generalized additive models, multilevel modelling, nonparametric methods and an introduction to survival analysis. Prerequisites: ST562 or equivalent. Exclusions: MA645, MA686D, MA348, ST462.

0%Liked

Easy

0%

Useful

0%

0 ratings

This course provides a broad overview of modern statistical methods for regression analysis. Statistical methodology may include generalized linear models, generalized additive models, multilevel modelling, nonparametric methods and an introduction to survival analysis. Prerequisites: ST562 or equivalent. Exclusions: MA645, MA686D, MA348, ST462.

ST 662 Prerequisites

ST 562 (Min. Grade )

ST 662 Leads To

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ST 662 Restrictions

Must be enrolled in one of the following Levels:

Graduate (GR)

Must be enrolled in one of the following Fields of Study (Major, Minor, Concentration or Partner Institution):

Mathematical & Statistical Mod (MASM)

Mathematics (MATH)

Course Schedule