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Graphical methods for directional data
Tyuleneva, Anastasia ; Hlávka, Zdeněk (advisor) ; Antoch, Jaromír (referee)
Title: Graphical methods for directional data Author: Anastasia Tyuleneva Department: Department of Probability and Mathematical Statistics Supervisor: doc. Mgr. Zdeněk Hlávka, Ph.D., Department of Probability and Mathematical Statistics Abstract: This work is focused on the improvement of knowledge about the graphical directional data visualizing using different kinds of boxplot. The method and restrictions of the boxplot construction are depicted in this work, especially the need of knowledge of the relationship of sample α−quantiles to the theoretical quantiles. The first part is focused on the most importat information of the theoretical background, boxplot and its parts description. In the second part the construction of the circular boxplot for two-dimensional directional data and representation of their properties using von Mises distribution is described. The final part is consisted of a brief description of the method of construction of multidimensional boxplot or bagplot for three-dimensional Fisher distribution. Keywords: boxplot, bagplot, directional data, von Mises distribution, Fisher distribution
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Graphical methods for directional data
Tyuleneva, Anastasia ; Hlávka, Zdeněk (advisor) ; Antoch, Jaromír (referee)
Title: Graphical methods for directional data Author: Anastasia Tyuleneva Department: Department of Probability and Mathematical Statistics Supervisor: doc. Mgr. Zdeněk Hlávka, Ph.D., Department of Probability and Mathematical Statistics Abstract: This work is focused on the improvement of knowledge about the graphical directional data visualizing using different kinds of boxplot. The method and restrictions of the boxplot construction are depicted in this work, especially the need of knowledge of the relationship of sample α−quantiles to the theoretical quantiles. The first part is focused on the most importat information of the theoretical background, boxplot and its parts description. In the second part the construction of the circular boxplot for two-dimensional directional data and representation of their properties using von Mises distribution is described. The final part is consisted of a brief description of the method of construction of multidimensional boxplot or bagplot for three-dimensional Fisher distribution. Keywords: boxplot, bagplot, directional data, von Mises distribution, Fisher distribution
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Graphical methods for directional data
Tyuleneva, Anastasia ; Hlávka, Zdeněk (advisor) ; Antoch, Jaromír (referee)
Title: Graphical methods for directional data Author: Anastasia Tyuleneva Department: Department of Probability and Mathematical Statistics Supervisor: doc. Mgr. Zdeněk Hlávka, Ph.D., Department of Probability and Mathematical Statistics Abstract: This work is focused on the improvement of knowledge about the graphical directional data visualizing using different kinds of boxplot. The method and restrictions of the boxplot construction are depicted in this work, especially the need of knowledge of the relationship of sample α−quantiles to the theoretical quantiles. The first part is focused on the most importat information of the theoretical background, boxplot and its parts description. In the second part the construction of the circular boxplot for two-dimensional directional data and representation of their properties using von Mises distribution is described. The final part is consisted of a brief description of the method of construction of multidimensional boxplot or bagplot for three-dimensional Fisher distribution. Keywords: boxplot, bagplot, directional data, von Mises distribution, Fisher distribution
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Maximum likelihood estimators and their approximations
Tyuleneva, Anastasia ; Omelčenko, Vadim (advisor) ; Zvára, Karel (referee)
Title: Maximum likelihood estimators and their approximations Author: Anastasia Tyuleneva Department: Department of Probability and Mathematical Statistics Supervisor: Mgr. Vadym Omelchenko Abstract: Maximum likelihood estimators method is one of the most effective and accurate methods that was used for estimation distributions and parameters. In this work we will find out the pros and cons of this method and will compare it with other estimation models. In the theoretical part we will review important theorems and definitions for creating common solution algorithms and for processing the real data. In the practical part we will use the MLE on the case study distributions for estimating the unknown parameters. In the final part we will apply this method on the real price data of EEX A. G, Germani. Also we will compare this method with other typical methods of estimation distributions and parameters and chose the best distribution. All tests and estimators will be provided by Mathematica software. Keywords: parametr estimates, Maximum Likelihood estimators, MLE, Stable distribution, Characteristic function, Pearson's chi-squared test, Rao-Crámer. .
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Analysis of longevity in the Czech Republic
Tyuleneva, Anastasia ; Vrabcová, Jana (advisor) ; Bílková, Diana (referee)
This work is focused on the comprehensive analysis of longevity in the Czech Republic by calculating life tables and diffrent indicators such as life expectancy, likely and normal life span, which are corresponded to the statistical distribution of the values of the table number of deaths, such as mean, median and mode. In this work will be discribed models for smoothing age specific death rates using the moving average, Gompertz-makeham model and modified Gompertz-makeham model. The last chapter of this work will include all achieved analysis results for the Czech Republic and for other selected European Union countries. Also will be evaluted given essie as the growth of the life expectancy and moreover will be estimated forecast of lonevity in the Czech Republic.
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