Math 392 | Reed College | Spring 2018
Monday
- Parameters and statistics
- Example: stratified sampling
- Reading: p. 1-10, 13 - 20, 339 - 340
- Please join the slack group.
Wednesday
- CDFs, ECDFs
- Permutation tests
- Reading: p. 20 - 30, 35 - 48
Friday
- Bring laptops
- Activity: stratified sampling and simulation
- Permutation tests
- Reading: p. 48 - 68
Monday
- Permutation tests
- Choice of statistics
- Reading: p. 42 - 52
Wednesday
- Contingency tables
- Fisher's Exact
- Permutation Chi-squared
- Chi-squared approximation
- Reading: p. 52 - 68
Friday
- Sampling Distributions
- Central Limit Theorem
- Reading: p. 77 - 92
Monday
- Sampling distributions
- Simulation
- Exact
- Reading: p. 77 - 92
Wednesday
- Sampling distributions
- Large Sample Approximation
- Bootstrap I
- Reading: p. 99 - 113
Friday
- Bootstrap II
- Reading: p. 113 - 129
Monday
- Exam I
- This week's problem set will be due next Friday.
Wednesday
- Likelihood I
- Reading: p. 52 - 68
Friday
- Likelihood II
- Reading: p. 77 - 92
Monday
- Method of Moments
- Properties of Estimators I
- Bias
- Reading: p. 146 - 151
Wednesday
- Properties of Estimators II
- Efficiency
- Mean Squared Error
- Consistency
- Reading: p. 151 - 157
Friday
- Simulating from f
- Inverse Transform Method
- Rejection Sampling
- Properties of Estimators III
- Consistency, cont
- Reading: p. 157 - 160
- Problem set 5 due next Friday
Monday
- Confidence Intervals via Pivots
- Reading: p. 167 - 177
Wednesday
- Confidence Intervals via the Bootstrap
- Reading: p. 178 - 200
Friday
- Classical Hypothesis Tests
- Reading: p. 211 - 221
Monday
- Errors and Power
- Reading: p. 167 - 177
Wednesday
- Practice with Power
- Exam II review
Friday
- Exam II
- Problem set 6 due next Monday
Monday
- Review Exam II
Wednesday
- Parameters for multiple variables
- Covariance
- Correlation
- Introduction of the Linear Model
- Reading: p. 247 - 265
Friday
- The Linear Model in high dimensions
- The Hat Matrix
- Reading: p. 247 - 279
- Problem set 6 due Monday
Monday
- Large Sample Theory for the MLE
Wednesday
- Foundations of Bayesian Statistics
- Discrete binomial
- Beta-binomial model
- Reading: p. 316-322, (What is Bayesian Statitistics)[http://people.math.umass.edu/~lavine/whatisbayes.pdf] - Lavine
Friday
- Reading: