Categorical Data Analysis

Fall 2024

Details

Credit

3

Mode

In Person

Component

Lecture

Meets

In Person -

Instructors

Zijing Zhang

Description

Distribution and inference for binomial and multinomial variables with contingency tables, generalized linear models, logistic regression for binary responses, logit models for multiple response categories, loglinear models, inference for matched-pairs and correlated clustered data.

Eligibility


Open to Graduate students only.

Notes

This class meets on the Newton Campus of UMass-Amherst. This course may be taken remotely. Please enroll and contact the instructor if you would like to take the course remotely.

Note: Previous course work in probability and mathematical statistics including knowledge of distribution theory, estimation, confidence intervals, hypothesis testing and multiple linear regression; e.g. Stat 516 and Stat 525

Start Date

End Date

Subject Description

Statistics

Subject

STATISTC

Catalog Number

631

Class Number

34595

Course ID

110390

Section

01

Class Attributes

MIDA: UMASS

Academic Career

GRAD

Meeting

Th 6:00PM 8:30PM Sch of Design@MountIda Rm 101

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