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A Study in Time Series Forecasting Model

Zeel Dabhi, Mitali Jain

Abstract


There are many different time series forecasting models available today, and each one needs the correct data pretreatment and analysis to produce a useful prediction. The purpose of this report is to conduct a comparative analysis of the most popular Time Series estimators in order to highlight the growing interest in time series forecasting techniques. Time series data are being produced in a variety of fields more and more. It supports the growth of time series research and provides data for the study of time series analysis methods. This study makes an effort to classify and cover the current modelling approaches for time series data. Additionally, we contrast various approaches and provide a list of future possibilities for time series forecasting.


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