Properties of Weak and Strict Stationary Time Series
Asian Resonance(P: ISSN No. 0976 - 8602 RNI No.UPENG/2012/42622 VOL.-IV,
ISSUE-III, July-2015 E: ISSN No. 2349 - 9443)
Abstract
Associate Professor & Head, Deptt .of Statistics, Dnyanopasak Mahavidyalaya, Parbhani
D. D. Pawar
Associate Professor and Research Guide in Statistics, N.E.S. Science College, Nanded
In this paper, a time series {X t(), t Є T} on ( , C, P) is explained. Where X is a random variable (r. v.). The properties of weak and strict stationary time series with supporting real life examples have been taken and conclusion have been drawn by testing methodology of hypothesis. Number of rainy days and rainfall data for 26 years from Aurangabad District of Maharastra State were analyzed.
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