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Time Series Analysis with ARIMA Modeling

Anisha Godse, Nancy ., Babasaheb Thore

Abstract


A statistical technique for analyzing informationgathered through multiple measurements made across anextensive quantity of examinations about one segment orsubject with periodically is called time-series analysis. Thebest example of a longitudinal methodology is time-seriesanalysis.Thestrategythatisusedthemostfrequentlydepends on a group of simulations called AutoregressiveIntegratedMovingAverage(ARIMA)models.Theexaminationoffundamentalmethods,interventionsanalysis, and examination of the structure of outcomes oftreatmentthroughtimeareonlyafewoftheprimarykinds of research challenges that models based on ARIMAmayhandle.Thestructureofthemodelverificationprocedure,statisticallyestimateofparameters,andtechnical features of ARIMA models are all explored indetail. Examples are incorporated to make the scientificconversesimpler tounderstand.

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References


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