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An Application for Comparative Statistical Analysis of Time Series Forecasting Results

Student: Anastasia Gafiyatullina

Supervisor: Yury A. Dubnov

Faculty: Faculty of Computer Science

Educational Programme: Applied Mathematics and Information Science (Bachelor)

Year of Graduation: 2020

The task of forecasting time series data includes several challenges such as choosing the right tools for the available data and visualizing the results of the chosen algorithm. This paper aims to compare several existing statistical models using various data sets and sets of statistical metrics with later visualization of the results.

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