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Statistical Methods for Description of Running a Restaurant
Novotná, Lenka ; Doubravský, Karel (referee) ; Kropáč, Jiří (advisor)
The diploma thesis is written with a view to illustrate application of statistical methods describing progress of economical processes in company. The thesis is divided into two separated parts. First part focuses on theoretical pieces of knowledge about control charts and time series. Second part is composed from chapters that are focused on its practical usage. As simple application for control chart making is enclosed.
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Analysis of time series of property criminal acts in the Czech Republic regions in the period 1994-2014
Kubiš, Miroslav ; Helman, Karel (advisor) ; Malá, Ivana (referee)
The bachelor thesis is examining annual and monthly time series of criminality in regions of the Czech Republic in the period from 1994 to 2014. For this thesis the data on property criminality were selected. The data were gained from Police office. The main aim of this thesis is to examine the development of these time series. For this analysis I use basic characteristics and some methods for modelling the seasonal component. Ambitions of this thesis are: to examine the amount of criminal records committed throughout the months of the year, to examine the development of all criminal records and to compare time series in the regions of the Czech Republic.
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Statistical Analysis of Temperature and Precipitation Time Series in the Czech Republic in Period 1961-2008
Helman, Karel ; Pecáková, Iva (advisor) ; Čermák, Václav (referee) ; Žák, Michal (referee)
The present dissertation deals with an analysis of monthly time series of average temperatures and precipitation sums recorded at 44 sites in the Czech Republic over the period of 1961--2008. The main research purpose is to acquire deeper knowledge of regularities in the climatic time series development, using an appropriate set of statistical methods. A secondary objective is to search and find correlations between the research outcomes and basic geographic coordinates (altitude, longitude and latitude) of particular measurement stations and comparing all the results achieved for the selected climatic elements. There are two major contributions of this work. In the first place, it presents new knowledge in the field of climatic time series, particularly in connection with the strength and development of their seasonal component, further for instance analysing the relation between the distribution of a residual component and the geographic coordinates of the measurement stations. Another contribution lies in an extensive application of statistical methods of climatic time series analysis. Several types of methods were used, having employed both widely and rarely applied statistical tools (linear trends analysis and Box-Jenkins methodology respectively) as well as those used for the very first time (moving-seasonal time series).
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