Statistics & Applied Probability - PSTAT

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.


PSTAT 220A
23 / 40 Enrolled
Advanced Statistical Methods
Alexander Franks 4.6
T R
11:00 AM - 12:15 PM
68.0% A
Image for ACM Leetcode Workshop Series
UCSB Association for Computing Machinery logo
UCSB Association for Computing Machinery
We are the largest computer science club at UCSB
Promoted

ACM Leetcode Workshop Series

Level up your Leetcode skill for SWE internship interview questions

Phelps Hall, Room 3526