ETH :: D-MATH :: Mathematische Grundlagen der Statistik

Content: In mathematical statistics, data is exploited to get information about certain aspects of the underlying probability distributions. This lecture covers: introductory examples, formalism of decision theory, optimality measures, optimality in simple models, asymptotics of estimators and tests.

Lecture:
We 10-12 HG E 1.1
Fri 08-10 HG E 1.1

Exercise Lessons:
Tue 14-15 HG F 26.3

Tue 12-13 HG E 1.1

Exercises:

First exercise lesson: Tuesday, September 22, 2015.

Upload: Tuesday, week n.
Preliminary discussion: Tuesday, week n+1, in the exercise lesson.
Hand in: Tuesday, week n+2, in the exercise lesson.
Return: Tuesday, week n+3, in the exercise lesson.
Discussion: if needed, Tuesday, week n+3, in the exercise lesson.

Problem Sheets

Preliminary Discussion

Solution

Problem Sheet 1

September 22, 2015

Solution 1

Problem Sheet 2

September 29, 2015

Solution 2

Problem Sheet 3

October 6, 2015

Solution 3

Problem Sheet 4

October 13, 2015

Solution 4

Problem Sheet 5

October 20, 2015

Solution 5

Problem Sheet 6

October 27, 2015

Solution 6

Problem Sheet 7

November 3, 2015

Solution 7

Problem Sheet 8

November 10, 2015

Solution 8

Problem Sheet 9

November 17, 2015

Solution 9

Problem Sheet 10

November 24, 2015

Solution 10

Problem Sheet 11

December 1, 2015

Solution 11

Problem Sheet 12

December 8, 2015

Solution 12

Requirements for the Testat: None.

PhD Students: If you only need the ETH credit points, please hand in solutions to 5 problem sheets. If you need ECTS points, you do not have to hand in solutions but to pass the exam (an online registration on mystudies is required).

Material: script

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