Time series analysis of air duality data

Nowadays, it is essential to forecast the data to have prior information about the occurrence of a particular event. For the case of air quality management, it is essential to have the knowledge of the structure of the air quality data that helps in knowing the possible effects on the environment, and using that, preventive measures can be taken. Time series analysis can do the best for this purpose. Time series analysis helps in analyzing the data series and enables us to make decisions based on the available set of data. This paper describes the simple approach to estimate the time series components of the data series. The sequence of observations obtained over different time points is called a time series.

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