Generalized linear models; log-linear models with application to categorical data; and nonlinear regression models. Discussion of each technique includes graphical methods; estimation and inference; diagnostics; and model selection. Emphasis on application rather than theory. R/SAS computation.

Prerequisites: PSTAT 120A or equivalent.

4

Units

Optional

Grading

1, 2, 3

Passtime

None

Level Limit

Letters and science

College
Unlocks PSTAT 230
Yuedong Wang
3.1
12 reviews

Lecture

ELLSN2626
M W
17:00 PM - 18:15 PM
0 / 40

Sections

GIRV 1119
T
13:00 PM - 13:50 PM
0 / 40
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PSTAT 220B Wang Y-D Winter 2024 Total: 22
PSTAT 220B Wang Y-D Winter 2023 Total: 28
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12
3.1
PSTAT126 . 2 Years Ago

Homework is very important for exams. Be prepared you will be fine.

0 helpful 0 unhelpful
PSTAT220A . 7 Years Ago

when you see his name, run! a parrot can teach better than him. My college regression was much deeper than the one offerer here for grads.

3 helpful 0 unhelpful
PSTAT5LS . 11 Years Ago

Prof Wang is such a nice guy! I've never been an office hours student but both times I went to his he was very kind and totally cleared things up. He does have an accent but his English itself is very good, it doesn't get in the way of understanding lectures and I actually think hes very clear in class. Would definitely take him again

0 helpful 0 unhelpful
MATH3B . 12 Years Ago

Wang is not a bad professor, but is extremely difficult to understand. Tests are not particularly hard and his midterm is A LOT easier than the final. Go to CLAS and you will be fine. Material starts to get tricky at the end of the quarter but is doable. Does not speak english and notes are not that good, but if you go to CLAS then you can get by

0 helpful 0 unhelpful
MATH5A . 12 Years Ago

No partial credit on tests. Really hard to understand his accent. Some examples are decent others are just confusing and pointless.

0 helpful 0 unhelpful
MATH5A . 12 Years Ago

super easy midterm (30% of grade). unreasonably hard final (50% of grade). he does not like to give partial credits in tests. he likes to do a lot of example problems on the board, which is very helpful. overall, a pretty hard class.

0 helpful 0 unhelpful
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