Lecture notes
Latin square
and split plot designs. Last updated: 5/4. Data sets:
millet
and
oats
Mean Squares approach for
RCBD
with and without subsampling. Data sets:
seed emergence
.
Mean Squares approach
for CRD with and without subsampling. Data sets:
irrigation
and
loblolly
stomata density.
Mutlilevel models
: introduction, and likelihood ratio tests. Data sets:
corn
and
floweringTime
.
Causal inference
and randomization. Data set:
fev
.
Simulations
for inference. Data set:
seaweed
.
Poisson regression
(last updated: 2/23). Data sets:
acf
and
moths
.
Model selection and logistic regression
. The logistic regression section was exanded (2/10). Data sets:
anesthetic.txt
.
Baby food
Multiple linear regression
: linear and log transformations, significance with f-test and t-tests, correlated predictors. Pesticide toxicity data set:
toxic.txt
.
Multiple linear regression
. Birds and bats case study:
bats.txt
.
Introduction
and quick review of simple linear regression.
Last modified: Mon May 4 15:53:54 CDT 2009