Time Series Analysis for Dairy Sector Data in Gujarat- An Application of Autoregressive and Moving Average Models

Vol-2 | Issue-2 | February 2017 | Published Online: 11 February 2017    PDF ( 231 KB )
Author(s)
Samir B. Pandya 1; Dr. C. D. Bhavsar 2

1Research Scholar, Statistics, A. A. Patel Commerce College, Gandhinagar, Gujarat (India)

2Research Guide, Professor, Department of Statistics, Gujarat University, Ahmedabad, Gujarat (India)

Abstract

Time series is the basic approach to the time stack defined fewer than two way classifications. Either it can be the approach to the time based trends measures or estimating or predicting the values for future consequences. This research is carried out to measure the first order time lag analysis to autoregressive and moving average scaling to dairy sector data of Gujarat state.

Keywords
Time Series, Autoregressive, Moving Average
Statistics
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