Time Series Analysis

Abstract

Time-series analysis is a statistical technique of analyzing data of chronological order on a single unit or individual at regular intervals over a large number of observations such as data on production, sales, area, prices, import, export etc. Time-series analysis can be considered as the model of longitudinal designs. The most generally utilized methodology is based on the class of models known as Autoregressive Integrated Moving Average models. ARIMA models can address several major classes of research questions, including an analysis of basic processes, intervention analysis, and analysis of the pattern of treatment effects over time. It can also be useful in to identify structural change in data.