Course Outline
Statistics 5102, Spring 2002

Course Outline

Day	Section	Topic	Homework
Jan. 23	6.3	Conjugate priors	6.3: 4,6
25	6.4	Bayes estimators	6.4: 1, 3, 11ab
28	6.5	Maximum likelihood	6.5: 1,7,8
30	6.6	Maximum likelihood	6.6: 2,5,13
Feb. 1	6.7	Sufficiency	6.7: 3,10,12adg
Feb. 4	6.8	Joint sufficiency	6.8: 2,4,11
6	6.9	Using sufficiency	6.9: 3,5,13
8	7.1	Sampling distributions	7.1: 1,3,4
11	7.2	Chi-squared	7.2: 5,9,10
13	7.3	Sample mean, variance	7.3: 3,6,7
15	7.4	t distribution	7.4: 3,4
18	7.5	Confidence intervals	7.5: 1,2abc,3
20	7.6	Credible intervals	7.6: 3,8,11
22	7.7	Unbiased estimators	7.7: 3,4,5
25	7.8	Fisher information	7.8: 2,3,6
27	7.8	Fisher information	7.8: 8,16,17
Mar. 1		Exam 1
4	8.1	Hypothesis testing	8.1: 1,3,5
6	8.2	Simple vs. simple tests	8.2: 1,4,7
8	8.4	UMP tests	8.4: 3,8,10
11	8.5	Finding tests	8.5: 1,5,7
13	8.6	t test	8.6: 1,3,4
15	8.7	P values	8.7: 1,3,7
		Spring Break

25	8.8	F distribution	8.8: 1,3,5
27	8.9	Two sample problem	8.9: 3,5,6
29	9.1	Goodness of fit	9.1: 3,6,7
Apr. 1	9.2	Composite goodness of fit	9.2: 1,2,3
3	9.3	Contingency tables	9.3: 3,4,8
5	9.4 - 9.5	Homogeneity tests	9.4: 4,5 9.5: 6
8	9.6	Kolmogorov-Smirnov test	9.6: 4,5,9
10	9.7 - 9.8	Robust estimation	9.7: 3,4 9.8: 2
12		Exam 2
15	9.9	Signed rank test	9.9: 1,4,7
17	9.10	Rank sum test	9.10: 3,4,5
19	10.1	Least squares	10.1: 3,5,6
22	10.2	Regression	10.2: 7,11,16
24	10.3	Confidence intervals	10.3: 2,6,7
26	10.3	Tests	10.3: 10,13,18
29	10.4	Regression fallacy
May 1	10.5	Multiple regression	10.5: 2,3,5
3	10.5	Multiple regression	10.5: 16,17,18,19
6	10.6	Analysis of variance	10.6: 5,7,8
8	10.7	Two way ANOVA	10.7: 1,4,8
10		Review
16		Final Exam	8:00 - 10:00 AM