ICAR Research Data Repository for Knowledge Management
Modeling of Potato Yield in India: An Empirical Approach using ARCH/GARCH Model
OAR@ICRISAT
View Archive Info| Field | Value | |
| Relation |
http://oar.icrisat.org/10998/
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| Title |
Modeling of Potato Yield in India: An Empirical Approach using ARCH/GARCH Model
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| Creator |
Panwar, S
Kumar, A Kumar, V Rathore, A |
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| Subject |
Statistical Models
Statistics |
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| Description |
This study discusses the application of nonlinear models viz. Gompertz., Logistic, Quadratic, Mercer-Morgan-Flodin (MMF), Weibull and Richards to measure the growth and comparing with ARCH/GARCH methodology. Time series data on potato yield in India during 1952-2006 were utilized for the present study. The fitted non-linear models are compared using statistics such as Mean Squared Error (MSE), Mean Absolute Percentage Error (MAPE), Theil statistic/ One Step Ahead Forecasting (OSAF), AIC, SBC, etc. and found that both Logistic and Gompertz model are better fit to describe all India potato yield data. |
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| Publisher |
Connect Journals
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| Date |
2012
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| Type |
Article
PeerReviewed |
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| Format |
application/pdf
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| Language |
en
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| Rights |
—
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| Identifier |
http://oar.icrisat.org/10998/1/Modeling%20of%20potato%20yield%20in%20India%20An%20empirical%20approach%20using%20ARCHGARCH%20model.pdf
Panwar, S and Kumar, A and Kumar, V and Rathore, A (2012) Modeling of Potato Yield in India: An Empirical Approach using ARCH/GARCH Model. International Journal of Agricultural and Statistical Sciences, 8 (2). pp. 597-601. ISSN 0973-1903 |
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