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Last update: T_KPMS (13.05.2014)
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Last update: T_KPMS (13.05.2014)
The aim is to produce students that are able to design experiments.
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Last update: doc. RNDr. Zdeněk Hlávka, Ph.D. (06.10.2017)
Prerequisites for obtaining the credit (zápočet): participation in the exercises and continuous solving of assigned problems. The nature of the credit does not allow it to be repeated. Acquiring credit is a prerequisite for attending the exam. |
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Last update: T_KPMS (13.05.2014)
Likeš: Navrhování průmyslových experimentů, SNTL 1969.
Neter, Kutner, Nachtsheim, Wasserman: Applied linear statistical models, IRWIN 1996.
Milliken, Johnson: Analysis of messy data: designed experiments. Vol. 1. CRC Press 2009.
Pázman: Základy optimalizácie experimentu, Veda 1980
Pázman, Mikulecká, Raffaj, Tokošová: Riešené situácie z navrhovania experimentov, Alfa 1986.
Pinheiro, Bates: Mixed effects models in S and S-PLUS, Springer 2000.
Zvára: Regrese, Matfyzpress 2008. |
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Last update: T_KPMS (15.05.2013)
Lecture+exercises. |
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Last update: doc. RNDr. Zdeněk Hlávka, Ph.D. (06.10.2017)
Requirements for the oral exam correspond to the syllabus of the subject in the scope that was presented at the lecture. |
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Last update: T_KPMS (13.05.2014)
Planning of sample sizes. Randomized block designs, nested designs, latin square experiments. Factorial designs. Optimality criteria for linear regression models. |
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Last update: doc. RNDr. Zdeněk Hlávka, Ph.D. (25.05.2018)
good knowledge of linear regression and mixed models |