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Nonlinear regression techniques for analysis of onion (Allium cepa) production in India

Indian Agricultural Research Journals

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Title Nonlinear regression techniques for analysis of onion (Allium cepa) production in India
 
Creator PANWAR, SANJEEV
KUMAR, ANIL
SINGH, K N
FAROOQI, MD SAMIR
RATHORE, ABHISHEK
 
Subject Forecasting, Goodness of fit, Growth models, Optimization, Run test, Theil statistic
 
Description India occupies second position in the production of onion in the world. Keeping in view the importance of this crop, the present study has been undertaken to find out the growth in production of onion and discusses the application of nonlinear models, viz. Gompertz, Logistic, MMF, Richards and Weibull models, which measure the growth. Time series data on onion production in major growing states; viz. Andhra Pradesh, Gujarat, Karnataka, Maharashtra, Uttar Pradesh, and all India from 1990–91 to 2009–10 has been utilized for the present study. From a realistic point of view, the relationships among variables in agricultural and horticultural sciences are non-linear in nature. Non-linear models are very popularly used to estimate the trend in various fields such as population studies and animal growth where growth is not symmetrical about the point of inflection. The results showed that Logistic and Gompertz models faired marginally better than Weibull and MMF models.
 
Publisher The Indian Journal of Agricultural Sciences
 
Contributor —
 
Date 2013-01-12
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
 
Format application/pdf
 
Identifier http://epubs.icar.org.in/ejournal/index.php/IJAgS/article/view/26253
 
Source The Indian Journal of Agricultural Sciences; Vol 82, No 12 (2012)
0019-5022
 
Language eng
 
Relation http://epubs.icar.org.in/ejournal/index.php/IJAgS/article/view/26253/12038
 
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