Determination of Effective Weather Parameters on Rainfed Wheat Yield Using Backward Multiple Linear Regressions Based on Relative Importance Metrics

Table 6

Comparison of the BMLR-LMG performance with other studies.

Reference	Method	Effective parameters	R^2	R^2adj	Error
[21]	Multiple linear regression	Precipitation	0.53	—	RMSE = 0.055
[22]	Backward time series regression, backward logistic generalized estimating equation, backward generalized estimating equation	Wind speed, Tmin	Based on ranking
[23]	Linear regression	Tmin, sunshine hours, rainfall amount	0.87	0.84	S.E^1 = 265.80
[24]	Multivariate regression	Tavg, number of frost days, RHmax	0.74	0.67	SE = 171
[25]	Linear regression	Rainfall, ET0, Tavg	0.92	—	SE = 77
Current study	Backward multiple linear regressions	Sunshine hours, rainy days, RHmin, RHavg	0.944	0.895	RMSE = 12.4

¹Standard error.