Application of Extreme Learning Machine Algorithm for Drought Forecasting

Table 5

Appropriate distributions with their respective BIC values for different time scales at nine meteorological stations.

Stations	SPTI-1		SPTI-3		SPTI-6		SPTI-9		SPTI-12
	Distribution	BIC	Distribution	BIC	Distribution	BIC	Distribution	BIC	Distribution	BIC
Mianwali	3P Weibull	−472.53	3P Weibull	−455.20	Gamma	−535.73	Laplace	−351.26	Chi-square	−326.56
Sialkot	4P beta	−722.18	Generalized normal	−600.22	Gamma	−581.78	Gumbel	−636.77	Gumbel	−548.40
Muzaffarabad	4P beta	−584.52	Rayleigh	−670.62	Chi-square	−739.36	Log-normal	−964.72	Chi-square	−866.88
Astore	3P Weibull	−480.83	Gen. extreme value	−558.42	Skewed-normal	−745.38	Rayleigh	−756.25	Triangular	−717.03
Chitral	3P Weibull	−400.89	Generalized normal	−565.65	Triangular	−467.11	Normal	−478.68	Laplace	−430.01
Multan	3P Weibull	−317.25	4P beta	−390.52	Gumbel	−417.03	Trapezoidal	−496.07	Skewed-normal	−355.40
Kalat	4P beta	−664.62	4P beta	−798.51	4P beta	−963.70	4P beta	−475.47	Trapezoidal	−500.91
Chhor	Johnson SU	−444.44	3P Weibull	−353.93	4P beta	−337.40	Exponential	−282.64	Laplace	−287.91
Kohat	3P Weibull	−622.28	Gumbel	−466.94	Inverse Gaussian	−590.98	Triangular	−391.63	Trapezoidal	−381.36