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Sports data analysis
Horák, Patrik ; Bednář, Josef (referee) ; Hrabec, Pavel (advisor)
The main preoccupation of this thesis is analysis of ice hockey statistics. The first section describes widely used elementary and advanced ice hockey statistics. The second part contains selected comparable studies working with similar hypotheses. The third section introduces necessary mathematical tools, such as, Two-sample t-test, correlation, Two-way analysis of variance with no interaction and their nonparametric equivalents. In the last section described statistical hypotheses tests are applied to ice hockey dataset. Results interpretation is also included.
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Parametric and Non-parametric Statistical Methods and their Application
Mračko, Peter ; Mekyska, Jiří (referee) ; Smékal, Zdeněk (advisor)
This thesis deals with parametric statistical methods, which consist in testing hypotheses about the parameters of probability distributions. The thesis theoretically explains chosen probability distribution principles and test their parameters. Theoretical knowledge is explained with real examples that are solved using Matlab. The practical part consists in the use of statistical methods for evaluating parameters of patients who are handicapped by Alzheimer’s disease.
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Sports data analysis
Horák, Patrik ; Bednář, Josef (referee) ; Hrabec, Pavel (advisor)
The main preoccupation of this thesis is analysis of ice hockey statistics. The first section describes widely used elementary and advanced ice hockey statistics. The second part contains selected comparable studies working with similar hypotheses. The third section introduces necessary mathematical tools, such as, Two-sample t-test, correlation, Two-way analysis of variance with no interaction and their nonparametric equivalents. In the last section described statistical hypotheses tests are applied to ice hockey dataset. Results interpretation is also included.
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|
|
Parametric and Non-parametric Statistical Methods and their Application
Mračko, Peter ; Mekyska, Jiří (referee) ; Smékal, Zdeněk (advisor)
This thesis deals with parametric statistical methods, which consist in testing hypotheses about the parameters of probability distributions. The thesis theoretically explains chosen probability distribution principles and test their parameters. Theoretical knowledge is explained with real examples that are solved using Matlab. The practical part consists in the use of statistical methods for evaluating parameters of patients who are handicapped by Alzheimer’s disease.
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