tailieunhanh - Validity test of forecast error of wheat yield through non-linear growth models in Bihar

The present study has aimed to test the accuracy of Forecast error (FE) value of wheat yield through non-linear models in Bihar. For this study, there were four models namely Monomolecular, Logistic, Gompertz and Compound growth model has been taken under study. The best suitable non-linear model is selected on the basis of different statistic . MAPE, RMSE, OSAF, % FE. These were computed for various growth models under the three agro-climatic zones of Bihar and also for whole Bihar state. On the basis of these statistic Monomolecular model is best fit due to low value of MAPE, RMSE, OSAF and % FE. Minimum % FE found in case of monomolecular model in zone I, zone II, zone III and whole Bihar are , , , respectively. Whereas maximum % FE are found in case of compound growth model in zone I, zone II, zone III and whole Bihar are , , and 25% respectively. It was also found that the minimum % FE in case of monomolecular model among all Zones including whole Bihar is 0. 89% which is in complete Bihar condition. The low value of MAPE, RMSE, OSAF, % FE also supported the validity test of forecast yield value of wheat in case of monomolecular model. | Validity test of forecast error of wheat yield through non-linear growth models in Bihar

• Nông nghiệp
• Non linear growth models
• Accuracy test
• Wheat yield
• Forecasting of wheat
• Forecast error of wheat yield
• Nonlinear models
• Akaike’s information criteria
• Bayesian information criterion
• Rice leaf folder
• Nonlinear growth model
• Controlling rice leaf folder infestation
• Undergraduate econometrics
• Lecture Undergraduate econometrics
• Kinh tế lượng
• Interaction variables
• Logistic growth curve
• Nonlinear regression models
• Stanadard error etc
• Growth in area
• Production of sugarcane
• Statistical model to analyse