M012 Statistics II

Faculty of Informatics
Autumn 2001
Extent and Intensity
2/2. 4 credit(s) (plus extra credits for completion). Recommended Type of Completion: zk (examination). Other types of completion: k (colloquium), z (credit).
Teacher(s)
RNDr. Marie Budíková, Dr. (lecturer)
doc. RNDr. Jaroslav Michálek, CSc. (lecturer)
Mgr. Martin Ander, Ph.D. (seminar tutor)
Guaranteed by
doc. RNDr. Jiří Kaďourek, CSc.
Departments – Faculty of Science
Contact Person: doc. RNDr. Jaroslav Michálek, CSc.
Timetable
Mon 9:00–10:50 B204
  • Timetable of Seminar Groups:
M012/01: Mon 11:00–12:50 B410, M. Budíková
M012/02: Mon 13:00–14:50 B410, M. Budíková
Prerequisites (in Czech)
M011 Statistics I &&( M001 Calculus II || M501 Calculus II )
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
Course objectives
Random samples, point and interval estimators of parametrs and parametrical functions, statistical hypotheses testing, correlation and regression analysis.
Syllabus
  • Basic ideas of inferential statistics. Samples and sample characteristics.
  • Properties of the point estimators.
  • Properties of the normal and asymptotically normal samples.
  • Interval estimators.
  • Statistical hypotheses testing.
  • Analysis of correlation.
  • Multidimensional linear regression.
  • Statistical computation pacquets.
Literature
  • ANDĚL, Jiří. Statistické metody. 1. vyd. Praha: Matfyzpress, 1993, 246 s. info
  • BUDÍKOVÁ, Marie, Štěpán MIKOLÁŠ and Pavel OSECKÝ. Teorie pravděpodobnosti a matematická statistika. Sbírka příkladů. (Probability Theory and Mathematical Statistics. Collection of Tasks.). 2.,přepracované vyd. Brno: Masarykova univerzita Brno, 1998, 127 pp. ISBN 80-210-1832-1. info
  • OSECKÝ, Pavel. Statistické vzorce a věty. 1. vyd. Brno: Masarykova univerzita, 1998, [29] list. ISBN 8021017589. info
Assessment methods (in Czech)
Výuka probíhá každý týden v rozsahu 2 hodiny přednášek, 2 hodiny cvičení. Nutnou podmínkou udělení zápočtu je vypracování zápočtového příkladu. Zkouška písemná, sestává z testové části a části s příklady.
Language of instruction
Czech
Further comments (probably available only in Czech)
The course is taught annually.
The course is also listed under the following terms Autumn 1996, Autumn 1997, Autumn 1998, Autumn 1999, Autumn 2000.

M012 Statistics II

Faculty of Informatics
Autumn 2000
Extent and Intensity
2/2. 4 credit(s) (plus extra credits for completion). Recommended Type of Completion: zk (examination). Other types of completion: k (colloquium), z (credit).
Teacher(s)
RNDr. Marie Budíková, Dr. (lecturer)
doc. RNDr. Jaroslav Michálek, CSc. (lecturer)
Guaranteed by
doc. RNDr. Jiří Kaďourek, CSc.
Departments – Faculty of Science
Contact Person: doc. RNDr. Jaroslav Michálek, CSc.
Prerequisites (in Czech)
M011 Statistics I && M001 Calculus II
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.
Literature
  • OSECKÝ, Pavel. Statistické vzorce a věty. 1. vyd. Brno: Masarykova univerzita, 1998, [29] list. ISBN 8021017589. info
  • ANDĚL, Jiří. Statistické metody. 1. vyd. Praha: Matfyzpress, 1993, 246 s. info
Assessment methods (in Czech)
Výuka probíhá každý týden v rozsahu 2 hodiny přednášek, 2 hodiny cvičení. Nutnou podmínkou udělení zápočtu je vypracování zápočtového příkladu. Zkouška písemná, sestává z testové části a části s příklady.
Language of instruction
Czech
Further comments (probably available only in Czech)
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 1998, Autumn 1999, Autumn 2001.

M012 Statistics II

Faculty of Informatics
Autumn 1999
Extent and Intensity
2/2. 4 credit(s) (plus extra credits for completion). Recommended Type of Completion: zk (examination). Other types of completion: k (colloquium), z (credit).
Teacher(s)
doc. RNDr. Jaroslav Michálek, CSc. (lecturer)
Guaranteed by
prof. RNDr. Jan Slovák, DrSc.
Departments – Faculty of Science
Contact Person: doc. RNDr. Pavel Osecký, CSc.
Prerequisites (in Czech)
M011 Statistics I && M001 Calculus II
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.
Literature
  • OSECKÝ, Pavel. Statistické vzorce a věty. 1. vyd. Brno: Masarykova univerzita, 1998, [29] list. ISBN 8021017589. info
  • ANDĚL, Jiří. Statistické metody. 1. vyd. Praha: Matfyzpress, 1993, 246 s. info
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 1998, Autumn 2000, Autumn 2001.

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
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
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.

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.

M012 Statistics II

Faculty of Informatics
Autumn 1996
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.
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 1997, Autumn 1998, Autumn 1999, Autumn 2000, Autumn 2001.
  • Enrolment Statistics (recent)