Application of Regression Models for Area, Production and Productivity Growth Trends of Cotton Crop in India
International Journal of Statistical Distributions and Applications
Volume 4, Issue 1, March 2018, Pages: 1-5
Received: Sep. 11, 2017;
Accepted: Nov. 11, 2017;
Published: Jan. 19, 2018
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M. Sundar Rajan, Department of Statistics, Govt. Arts College (Affiliated Bharathiar University), Coimbatore, India
M. Palanivel, Department of Statistics, Govt. Arts College (Affiliated Bharathiar University), Coimbatore, India
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Computing the growth of any entity over a time period is important for understanding the past behaviour and for future planning. ‘Compound growth rate’ is one of the frequently used methods for calculating the growth rate models. Among the statistical study was carried out on different growth models viz., linear, quadratic, cubic, exponential, compound, logarithmic, inverse, power, growth and S-curve models to project the area, production and productivity cotton crop in India for 1951 to 2013. The study revealed that through all models exhibited significant; the cubic model is the best fitted, for its highest adjusted R2 on increasing future projection trends with respect to area, production and productivity of cotton in India.
Regression Growth Models, Area, Production, Productivity, Cotton, Adjusted R2, Growth Models
To cite this article
M. Sundar Rajan,
Application of Regression Models for Area, Production and Productivity Growth Trends of Cotton Crop in India, International Journal of Statistical Distributions and Applications.
Vol. 4, No. 1,
2018, pp. 1-5.
Copyright © 2018 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/
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Aparna, B., S. M. Shareef, V. T. Raju and V. Srinivasa Rao (2008). Growth trends of major vegetables in Visakhapatnam. The Andhra Agricultural Journal, 55 (1), 68-69.
Ahuja, K. N., 1987. Indian’s food demand in 2000. International Seminar on Agricultural Research Systems and Management in the 21st Century. NARM, Hyderabad, December 8-10, ppA32-41.
Borthakur. S and B. K. Bhattacharyya (1998). Trend analysis of Area, Production and Productivity of Potato in Assam 1951-1993, Economic Affairs. Vol. 43 (4) issue.
Chengappa, P. G., 1981, Growth rates of area, production and productivity of coffee, Indian Journal of Coffee Research. 11 (2): 19-26.
Dhakre and Amod Sharma (2009). Growth and instability analysis of ginger production in North-east: region. Agricultural Situation in India. 463-465.
D. P. Sing et al., (2014). Developing statistical models to study the growth rates of paddy crops in different districts of Chhattisgarh, American International Journal of Research in Formal, Applied & Natural Science. 5 (1), 102-104.
Finger, R., (2007). Evidence of slowing yield growth the example of swiss cereal yield. Agri-Food and Agri-Environmental Economics Group, ETH Zurich, Switzerland.
Hussaini. Mairiga, (2014). Trend Analysis of Productivity of Some Selected Cereal Crops in Nigeria: 1983-2008. Tahir, Research on Humanities and Social Sciences. Vol. 4, No. 8, 2014.
Karim, M. R., M. A. Awal and M. Akter, (2010). Forecasting of wheat production in Bangladesh. Bangladesh J. Agric. Res., 35: 17-28.
Kvalseth, T. O. (1985). Cautionary note about （R2）, Amer. Statistician, 39, 279-85.
Martin and Yeh, H. 1965. Yield predictions for 1965 wheat, oats and barely in Manitoba. Canadian Journal of Agricultural Economic. 13: 306-309.
Mohan Naidu. G., (2015). Selection of appropriate growth model for projection of sugarcane area, production and productivity of Andhra Pradesh. International Journal Agricultural Statistical Science. Vol. 11, No. 1, pp. 215-218.
Rajarathinam, A., Parmar, R. S. and Vaishnav P. R. 2010. Estimating Models for Area, Production and Productivity Trends of Tobacco (Nicotiana tabacum) Crop for Anand Region of Gujarat State, India. J. App. Sci., 10: 2419-25.
Rimi, R. H., S. H. Rahman, S. Karmakar and S. G. Hussain, (2009). Trend analysis of climate change and investigation on its probable impacts on rice production at Sathkhira, Bangladesh. Pak. J. Meteorol., 6: 37-50.
Srinivasa Rao, V and Srinivasulu, R. (2006). Growth comparisons of turmeric up to 2020 AD. The Andhra Agricultural Journal. 53 (1&2): 108-109.