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National Repository of Grey Literature 3 records found  Search took 0.01 seconds. 
Statistical analysis of big industrial data
 Zamazal, Petr ; Popela, Pavel (referee) ; Šomplák, Radovan (advisor)
This thesis deals with processing of real data regarding waste collection. It describes select parts of the fields of statistical tests, identification of outliers, correlation analysis and linear regression. This theoretical basis is applied through the programming language Python to process the data into a form suitable for creating linear models. Final models explain between 70 \% and 85 \% variability. Finally, the information obtained through this analysis is used to specify recommendations for the waste management company.
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Reverse Logistics in the Selected Company
 Hrobařová, Pavla ; Kuba,, Karel (referee) ; Milichovský, František (advisor)
The bachelor thesis deals with reverse logistics in a selected company whose main activity is providing services in the field of waste management. On the basis of theoretical knowledge, it analyses and researches the company's activities and elements of forward logistics, and focuses on waste management and reverse logistics activities. The aim of the bachelor thesis is to propose a solution leading to the optimization of municipal waste collection in reverse logistics.
Detailed record
Statistical analysis of big industrial data
 Zamazal, Petr ; Popela, Pavel (referee) ; Šomplák, Radovan (advisor)
This thesis deals with processing of real data regarding waste collection. It describes select parts of the fields of statistical tests, identification of outliers, correlation analysis and linear regression. This theoretical basis is applied through the programming language Python to process the data into a form suitable for creating linear models. Final models explain between 70 \% and 85 \% variability. Finally, the information obtained through this analysis is used to specify recommendations for the waste management company.
Detailed record

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