Spatial
32
Spatial modeling
STAT 230
STAT 230 - Linear Models
Foundations
1
Probability distributions
2
Statistical inference and the Central Limit Theorem
3
Confidence intervals
4
Hypothesis tests
5
ANOVA
Linear Models
6
Introduction
7
Linear regression model
8
Confidence intervals and hypothesis testing
9
Example code SLR
10
Example code MLR
11
Categorical variables
12
Interactions
Diagnostics
13
Assumptions
14
Unusual observations
15
Residuals and leverages
16
Example code SLR
17
Example code MLR
GLS
18
Generalized least squares and Weighted least squares
Model selection
19
Model selection
Generalized Linear Models (GLMs)
20
Count, binary and normal data
21
Exponential family
22
Deviance
23
Inference
24
Classification
Survival
25
Survival analysis
26
Parametric survival models
27
Kaplan-Meier
28
Cox proportional hazards model
Splines
29
Local regression
30
Splines
31
Generalized Additive Models (GAMs)
Spatial
32
Spatial modeling
Exercises
33
Datasets
34
R
35
LM2
36
LM3. Categorical and interactions
37
LM 5. Assumptions and unusual observations
38
LM5. F-test
39
LM6. Residuals
40
LM 6. GLS
Spatial
32
Spatial modeling
32
Spatial modeling
Spatial Data Science
Spatial Statistics for Data Science: Theory and Practice with R
Geospatial Health Data: Modeling and Visualization with R-INLA and Shiny
31
Generalized Additive Models (GAMs)
33
Datasets