General linear models; regression; analysis of variance of fixed, random, and mixed effects models; analysis of covariance; and experimental design. 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-B-C, 122, 126, and Mathematics 108A or equivalents.

4

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Optional

Grading

1, 2, 3

Passtime

None

Level Limit

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FRANKS A
Alexander Franks
5 reviews
Lecture
NH 1111
M W
14:00 PM - 15:15 PM
17 / 15 Full
Sections
GIRV 1116
W
08:00 AM - 08:50 AM
17 / 15 Full
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PSTAT 220A Wang Y-D Fall 2023 Total: 29
PSTAT 220A Wang Y-D Fall 2022 Total: 29
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PSTAT115 . Franks A 3 Months Ago

Fantastic Professor. PSTAT 115 is certainly difficult, but the homework and tests are all do-able and he actually applies the concepts to interesting data (like baseball, basketball, and lord of the rings). You will actually enjoy his class.

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PSTAT115 . Franks A 1 Year, 8 Months Ago

Professor Franks was by far the most engaging and inspirational professor I've had. Although his homework assignments were challenging, working through them further interested me in the topics of the class. He was very personable and approachable while making lectures fascinating using real-world examples.

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PSTAT115 . Franks A 3 Years Ago

Professor Franks is probably the best in the statistics department. He's a great explainer and clearly passionate about the subject. The homeworks are extremely hard and you probably won't finish them if you wait until the last day to start. The tests however are pretty fair and much easier than homeworks.

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PSTAT115 . Franks A 3 Years Ago

A king among kings. Franks' knowledge of Bayesian statistics is unending and enchanting. Fun (albeit difficult) homework assignments, fair tests and grading criteria, and a generally pleasant experience. If he's teaching a course, you should be in it.

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PSTAT 207A
18 / 15 Full
Statistical Theory
Sreenivasa Jammalamadaka 4.4
T R
14:00 PM - 15:15 PM
PSTAT 210
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Measure Theory for Probability
Alexander Shkolnik 3.8
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Tomoyuki Ichiba 4.0
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Fouque J-P
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Andrew Carter 3.3
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15:30 PM - 16:45 PM