International Journal of Statistics and Applied Mathematics
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International Journal of Statistics and Applied Mathematics

2021, Vol. 6, Issue 1, Part A

Application of ARIMA model for forecasts analysis of yield and area of peanut in India


Author(s): MO Wankhade and UV Kale

Abstract: The main objective of this study is to generate and analyze forecasts of area under Peanut and yield of peanut (in quintal/hectare) in India. The data related to area under the crop and yield per hectare is extracted from Government of India, Directorate of Economics and Statistics from the year 19701-71 to 2017-18. An Autoregressive Integrated Moving Average (ARIMA) model is used for analysis of the data in MINITAB19 statistical software. Randomness of error terms in the model are tested by using Ljung-Box Chi-Square Statistic and Autocorrelation function and Partial Autocorrelation functions. Forecasts related to yield and area of Peanut along with 95% confidence intervals for the period of next 15 years i.e. from 2018-19 to 2032-33 are generated by fitting an ARIMA model. We observed that even though there is downward trend for area under Peanut, yield quintal per hectare showed upward trend.

DOI: 10.22271/maths.2021.v6.i1a.635

Pages: 51-58 | Views: 15 | Downloads: 7

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How to cite this article:
MO Wankhade, UV Kale. Application of ARIMA model for forecasts analysis of yield and area of peanut in India. Int J Stat Appl Math 2021;6(1):51-58. DOI: 10.22271/maths.2021.v6.i1a.635
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