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Use of Poisson distribution for prediction of sports matches results
Svoboda, Ondřej ; Malá, Ivana (advisor) ; Čabla, Adam (referee)
The aim of this master thesis is to verify possibility to use Poisson distribution for predicting soccer matches. At first for analysis is applied the original model from English statisticians Mark J. Dixon and Stuart G. Coles from 1997. Thereafter the model is extended in the thesis. All models are based on the maximum likelihood method. Chosen league for deducing conclusions is the first English league - Premier League. The matches are played in the period from season 2004/2005 to half of season 2015/2016. For identification of models performance are used the most market odds from American bookmaker Pinnacle. In the theoretical part are described models and statistical methods that are used in the practical part. In the practical part are realized calculations. Counted performance of models is based on profit from market odds. In the period ex-post are calculated optimum model parameters that are used in the ex-ante period, where is calculated performance of the model. The thesis answers question: Are these models gaining from public database effective in modern age?
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Diagnostics of emotional disorders and behavior preschool child
ŘÍHOVÁ, Pavlína
This bachalor´s work deals with emotional symptoms of problematic behaviour of the preschool children. The characteristic of preschool children as well as possible problematic behaviour and its impacts are explained in the theoretical part. It deals with hyperkinetic disorders, such as ADHD problematic, opposition and aggressive behaviour and different learning disorders which can be closely related to them. This work also describes the symptoms of a talented child. The symptoms of selected childs are mentioned in the practical part of this work. The long-term qualitative research should confirm or prove false the given research questions and should propose the possibilities of an appropriate solution by the means of particular activities.
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