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Auto correlation function (ACF) and Partial Auto correlation function(PACF) play important role in time series analysis. In this study ACF &PACF for reference crop evapotranspiration have been found. The data series of 102 years (1224 months) of Ranchi district are used for determination of ACF and PACF. This study is helpful for calculating parameters of different time series modelling like autoregressive (AR) Model, moving average (MA) Model, autoregressive moving average (ARMA)model, autoregressive integrated moving average (ARIMA)model, etc. Apart from that, these are also helpful for time series analysis of different data series of numerous fields. The study is beneficial for, Researcher in the field of hydrology, statistics, econometrics, big data series, predictions of sales in corporate field, forecasting of rainfall, temperature, to see the pattern of climate change, etc.

international journal of scientific research and reviews

Estimation of Autocorrelation function and partial Autocorrelation function of Evapotranspiration for Ranchi district, India, in context of time series Modelling.