National Repository of Grey Literature 4 records found  Search took 0.00 seconds. 
The Use of Statistical Methods for Data Processing
Hřiba, Štěpán ; Šustrová, Tereza (referee) ; Novotná, Veronika (advisor)
The statistical method application of data processing is the study object of this thesis. The thesis is composed of two parts – theoretical and practical. The theoretical part deals with regression analysis, time series and financial analysis issue. The practical part draws the attention to the characteristic of a chosen company and analysis of selected economic indicators. These economic indicators are processed by the aid of regression analysis and time series.
The Use of Statistical Methods for Data Processing
Hřiba, Štěpán ; Šustrová, Tereza (referee) ; Novotná, Veronika (advisor)
The statistical method application of data processing is the study object of this thesis. The thesis is composed of two parts – theoretical and practical. The theoretical part deals with regression analysis, time series and financial analysis issue. The practical part draws the attention to the characteristic of a chosen company and analysis of selected economic indicators. These economic indicators are processed by the aid of regression analysis and time series.
The Use of Statistical Methods for Data Processing
Hřiba, Štěpán ; Šustrová, Tereza (referee) ; Novotná, Veronika (advisor)
The statistical method application of data processing is the study object of this thesis. The thesis is composed of two parts – theoretical and practical. The theoretical part deals with regression analysis, time series and financial analysis issue. The practical part draws the attention to the characteristic of a chosen company and analysis of selected economic indicators. These economic indicators are processed by the aid of regression analysis and time series.
The Use of Statistical Methods for Data Processing
Hřiba, Štěpán ; Šustrová, Tereza (referee) ; Novotná, Veronika (advisor)
The statistical method application of data processing is the study object of this thesis. The thesis is composed of two parts – theoretical and practical. The theoretical part deals with regression analysis, time series and financial analysis issue. The practical part draws the attention to the characteristic of a chosen company and analysis of selected economic indicators. These economic indicators are processed by the aid of regression analysis and time series.

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