Applied Multivariate Analysis
STAT 460, Spring 2015
Darren Homrighausen
Syllabus
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Lecture: |
Date and Time: Monday, Wednesday, Friday from 10:00 - 10:50 pm Location: Engineering 101 B |
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| Office hours: | Tuesday 11:00am or by appointment, Statistics 204 | |||
| TA: | Paul Harmon: email (use R) paste(c(paste(c('paul','harmon','gj'),collapse=''),'gmail.com'),collapse='@') | |||
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Applied Multivariate Analysis involves a good deal of both applied work (programming, problem solving, data analysis) and theoretical work (learning, understanding, and evaluating methodologies). We will try to make the class as applied as possible. However, there are necessary detours into the more technical aspects. |
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Project:Project OutlineHomeworks:HOMEWORK 1HOMEWORK 2 HOMEWORK 3 HOMEWORK 4 HOMEWORK 5 HOMEWORK 6 HOMEWORK 8 HOMEWORK 9 HOMEWORK 10 HOMEWORK 11 (r code) |
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Lectures:R Tip 'o the DayPRELIMINARY MATERIALS REGRESSION
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Test materials:
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R-project Materials:
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