SURV699J

Special Topics in Survey Methodology; General Linear Models (G.L.M)

Prerequisite: A sound understanding of the linear regression models (OL S), knowledge in linear algebra and calculus is useful. The main focus lies on the introduction to statistical models and estim ators beyond linear regression useful to a social and economic scientis ts. The first two units are dedicated to an introduction to a maximum likelihood estimation while the rest of the units will discuss generali zed linear models (GLS) for binary choice decisions (Logit, Probit), or dinal dependent variables, and count data (Poisson, Negative Binomial).

Sister Courses: SURV699, SURV699A, SURV699C, SURV699E, SURV699F, SURV699I, SURV699L, SURV699M, SURV699N, SURV699Q, SURV699R, SURV699S, SURV699U, SURV699X, SURV699Y

Past Semesters

Thomas Gautschi

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Include P/F semesters During the Spring 2020 and Spring 2021 semesters, students could choose to take some of their courses pass-fail mid-semester which skews grade data aggregated across multiple semesters.

No grade data available.