George Mason University
George Mason University Mason
George Mason University

STAT 654: Applied Statistics II

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Overview of statistical principles of modeling. Topics include methods for analyzing data based on generalized linear models and diagnostic methods for assessing the assumptions of such models. Methods covered include multiple regression, analysis of variance, simultaneous inference, logistic response models, and hierarchical log linear models for contingency tables.

Course Information from University Catalog

Not Repeatable


Overview of statistical principles of modeling. Topics include methods for analyzing data based on generalized linear models and diagnostic methods for assessing the assumptions of such models. Methods covered include multiple regression, analysis of variance, simultaneous inference, logistic response models, and hierarchical log linear models for contingency tables.

When Offered: Fall, Spring

Hours of Lecture or Seminar per week: 3

Credits: 3

Prerequisites:

STAT 554

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Expertise