FI:M012 Statistics II - Course Information

M012 Statistics II

Faculty of Informatics
Autumn 1998

Extent and Intensity

2/2. 4 credit(s). Recommended Type of Completion: zk (examination). Other types of completion: k (colloquium), z (credit).

Teacher(s)

doc. RNDr. Pavel Osecký, CSc. (lecturer)

Guaranteed by

Contact Person: doc. RNDr. Pavel Osecký, CSc.

Prerequisites (in Czech)

M011 Statistika I

Course Enrolment Limitations

The course is also offered to the students of the fields other than those the course is directly associated with.

fields of study / plans the course is directly associated with

Key topics

Convergence in probability and in distribution. Weak law of large numbers and central limit theorem. Random simulation.
Multidimensional normal distribution, exact distributions.
Basic ideas of inferential statistics. Samples and sample characteristics.
Properties of the normal and asymptotically normal samples.
Properties of the point estimators.
Interval estimators and predictors. Simultaneous decisions.
Statistical hypotheses testing. The power function.
Multidimensional linear regression.
Statistical computation pacquets.

Language of instruction

Czech

Further Comments

The course is taught annually.
The course is taught every week.

The course is also listed under the following terms Autumn 1996, Autumn 1997, Autumn 1999, Autumn 2000, Autumn 2001.