Mathematical Statistics

2021/2022 spring semester materials

Index numbers — Summary
Lecture 1, Lecture 2: Descriptive Statistics — Lecture notes — Presentation 1 — Presentation 2
Lecture 3: Intro to Mathematical Statistics — Lecture notes — Presentation 3
Lecture 4: Intro to Estimation — Lecture notes — Presentation 4
Lecture 5: Intro to Estimator properties — Lecture notes — Presentation 5 (corr.)
Lecture 6: Estimator properties pert II — Lecture notes — Presentation 6
Lecture 7: Estimator properties part III — Lecture notes — Presentation 7
Lecture 8: Confidence intervals — Lecture notes — Presentation 8
Lecture 9: Hypothesis testing intro — Lecture notes — Presentation 9
Lecture 10: Hypothesis testing: Neyman-Pearson lemma — Lecture notes — Presentation 10
Lecture 11: Hypothesis testing cont: One sample tests — Lecture notes — Presentation 11
Lecture 12: Hypothesis testing cont: Two sample tests — Lecture notes — Presentation 12
Lecture 13: Hypothesis testing cont: ANOVA — Lecture notes — Presentation 13
Lecture 14: Hypothesis testing cont: Goodness of fit tests — Lecture notes — Presentation 14
Lecture 15: Presentation 15

Problem Set 0 (23.02.2022)
Problem Set 1 (2.03.2022). Link to spreadsheet with data available in moodle
Problem Set 2 (9.03.2022). Link to spreadsheet with data available in moodle.
Problem Set 3 (16.03.2022)
Problem Set 4 (23.03.2022)
Problem Set 5 & 6 (30.03.2022 & 6.04.2022)
Problem Set 7 (13.04.2022)
Problem set 8 (27.04.2022)
Problem set 9 (11.05.2022)
Problem set 10 (18.05.2022)
Problem set 11 (25.05.2022)
Problem set 12 (1.06.2022)
Problem set 13 (8.06.2022)