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Statistical evaluation of large-scale data of waste colection problem
Šmídová, Zlata ; Karpíšek, Zdeněk (referee) ; Šomplák, Radovan (advisor)
The bachelor thesis deals with statistical evaluation of large-scale data of waste collection problem and with evaluation these data for the purpose of subsequent traffic optimization. Statistical tests were performed in Microsoft Excel and STATISTICA. After compiling the mathematical model, the processed data were uploaded to the SQLite database and to the General Algebraic Modeling System, which calculated the time spent on each section of the route. The results are important for dealing with traffic and logistics issues that many companies and companies are engaged in. This approach represents a new technique for creating boundary conditions in traffic tasks. The output is high quality input data for optimization in logistics.
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Outliers
Kudrnáč, Vojtěch ; Zvára, Karel (advisor) ; Anděl, Jiří (referee)
This paper concerns itself with the methods of identifying outliers in an otherwise normally distributed data set. Several significant tests and criteria designed for this purpose are described here, Peirce's criterion, Chauvenet's criterion, Grubbs' test, Dixon's test and Cochran's test. Deriving of the tests and criteria is indicated and finally the results of the use of the test and criteria on simulated data with normal distribution and inserted outlier are looked into. Codes in programming language R with the implementation of these test and criteria using existing functions are included. Powered by TCPDF (www.tcpdf.org)
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Outliers
Kudrnáč, Vojtěch ; Zvára, Karel (advisor) ; Anděl, Jiří (referee)
This paper concerns itself with the methods of identifying outliers in an otherwise normally distributed data set. Several significant tests and criteria designed for this purpose are described here, Peirce's criterion, Chauvenet's criterion, Grubbs' test, Dixon's test and Cochran's test. Deriving of the tests and criteria is indicated and finally the results of the use of the test and criteria on simulated data with normal distribution and inserted outlier are looked into. Codes in programming language R with the implementation of these test and criteria using existing functions are included. Powered by TCPDF (www.tcpdf.org)
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Statistical evaluation of large-scale data of waste colection problem
Šmídová, Zlata ; Karpíšek, Zdeněk (referee) ; Šomplák, Radovan (advisor)
The bachelor thesis deals with statistical evaluation of large-scale data of waste collection problem and with evaluation these data for the purpose of subsequent traffic optimization. Statistical tests were performed in Microsoft Excel and STATISTICA. After compiling the mathematical model, the processed data were uploaded to the SQLite database and to the General Algebraic Modeling System, which calculated the time spent on each section of the route. The results are important for dealing with traffic and logistics issues that many companies and companies are engaged in. This approach represents a new technique for creating boundary conditions in traffic tasks. The output is high quality input data for optimization in logistics.
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