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Prediction of Time Series Using Statistical Methods
Beluský, Ondrej ; Bidlo, Michal (referee) ; Schwarz, Josef (advisor)
Many companies consider essential to obtain forecast of time series of uncertain variables that influence their decisions and actions. Marketing includes a number of decisions that depend on a reliable forecast. Forecasts are based directly or indirectly on the information derived from historical data. This data may include different patterns - such as trend, horizontal pattern, and cyclical or seasonal pattern. Most methods are based on the recognition of these patterns, their projection into the future and thus create a forecast. Other approaches such as neural networks are black boxes, which uses learning.
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The use of humine preparations at the winter wheat
ŠVEC, Jakub
The diploma thesis deals with the use of humic preparations in winter wheat (Tri-ticum aestivum). The experiment was based on a family farm with two varieties of winter wheat. These were varieties from the Lima Grain company. The varieties were LG Mocca and LG Magirus. In the experiment, 3 different dosage variants of Blackjak were compared against the control variant. The dose of the product was graduated in half a liter per hectare, i.e. variant No. 1: 0.5 l*ha-1, No. 2: 1 l*ha-1, No. 3: 1.5 l*ha-1. In the case of the LG Mocca variety, there was an increase in profits in all variants, from which it can be concluded that even the application of 0.5 l*ha-1 is advantageous. However, the highest increase in profits was for variant No. 3, where the increase in profits was CZK 3,087. For the LG Magirus variety, these results were not so clear. Variant No. 1, where 0.5 l*ha-1 was applied, came out with a lower profit than the control variant. The highest increase in profits was for variant No. 3, where the increase was CZK 1,554.
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Prediction of Time Series Using Statistical Methods
Beluský, Ondrej ; Bidlo, Michal (referee) ; Schwarz, Josef (advisor)
Many companies consider essential to obtain forecast of time series of uncertain variables that influence their decisions and actions. Marketing includes a number of decisions that depend on a reliable forecast. Forecasts are based directly or indirectly on the information derived from historical data. This data may include different patterns - such as trend, horizontal pattern, and cyclical or seasonal pattern. Most methods are based on the recognition of these patterns, their projection into the future and thus create a forecast. Other approaches such as neural networks are black boxes, which uses learning.
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