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Most basic techniques for the design of experiments.
Last update: T_KPMS (13.05.2014)
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The aim is to produce students that are able to design experiments.
Last update: T_KPMS (13.05.2014)
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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. Last update: Hlávka Zdeněk, doc. RNDr., Ph.D. (06.10.2017)
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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. Last update: T_KPMS (13.05.2014)
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Lecture+exercises. Last update: T_KPMS (15.05.2013)
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Requirements for the oral exam correspond to the syllabus of the subject in the scope that was presented at the lecture. Last update: Hlávka Zdeněk, doc. RNDr., Ph.D. (06.10.2017)
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Planning of sample sizes. Randomized block designs, nested designs, latin square experiments. Factorial designs. Optimality criteria for linear regression models. Last update: T_KPMS (13.05.2014)
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good knowledge of linear regression and mixed models Last update: Hlávka Zdeněk, doc. RNDr., Ph.D. (25.05.2018)
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