M012 Statistics II

Faculty of Informatics
Autumn 1997
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 Statistics 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
Syllabus
  • 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
The course is also listed under the following terms Autumn 1996, Autumn 1998, Autumn 1999, Autumn 2000, Autumn 2001.
  • Enrolment Statistics (Autumn 1997, recent)
  • Permalink: https://is.muni.cz/course/fi/autumn1997/M012