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STAT562 - Discrete Data Analysis

Sampling models and methods of inference for discrete data. Maximum likelihood estimation for complete contingency tables, measures of association and agreement. Goodness-of-fit. Incomplete tables. Analysis of square tables; symmetry and marginal homogeneity. Model selection and closeness of fit; practical aspects. Chi-square tests for categorical data from complex surveys. Prerequisite: STAT 372 or 471.

Fall Term 2018

Lecture Sections

Fall Term 2018 - LEC A1 (71963)

TR 12:30:00 - 13:50:00 (CAB 457)
Instructor: bei1@ualberta.ca - Profile

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