Bhartiya Krishi Anusandhan Patrika, volume 34 issue 1 (march 2019) : 17-22

Forecasting based on Markov chain model

Ramasubramanian V., Ravindra Singh Shekhawat, S. P. Singh

Affiliations

¹<p>ICAR-Indian Agricultural Statistical Research Institute, New Delhi, India.</p>

Submitted|
First Online |
doi 10.18805/BKAP144

Cite article:- V. Ramasubramanian, Shekhawat Singh Ravindra, Singh P. S. (NaN). Forecasting based on Markov chain model . Bhartiya Krishi Anusandhan Patrika. 34(1): 17-22. doi: 10.18805/BKAP144.

ABSTRACT

In this paper, we try to forecast crop yield by the probability model based on Markov Chain theory, which overcomes some of the drawbacks of the regression model. Markov Chain models are not constrained by a parametric assumption and are robust against outliers and extreme values. Here, multiple order Markov chain were utilized.

KEYWORDS

REFERENCES

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Copyright :

This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Forecasting based on Markov chain model

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