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National Repository of Grey Literature 2 records found  Search took 0.00 seconds. 
Time series annalyze by neural networks models
 Jiráň, Robin ; Arltová, Markéta (advisor) ; Žižka, David (referee)
This thesis deals about using models of neural networks like alternative of time series model based on Box-Jenkins methodology. The work is divided into two parts according to the model construction method. Each of the parts contains a theory that explains the individual processes and the progress of the model construction. This is followed by two experiments demonstrating the difference in approach to the design of a given model and creating a forecast by estimated values. for the following year. The last part expertly evaluates the quality of the predictions and considers the use of neural networks against prediction models as an alternative to Box-Jenkins methodology based models
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Statistical methods in R
 Jiráň, Robin ; Löster, Tomáš (advisor) ; Bílková, Diana (referee)
This thesis deals with the most important statistic methods, ways of calculating and syntax in the environment of R statistic programme. The initial parts of the bachelor thesis content a brief theoretical basis for the main chapters of the practical part. In the following chapters the use of R programme itself for calculating statistic tasks is explained. The particular parts of recording functions in R programme are presented, important arguments are described and both text and graphical inputs are displayed.
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