Research Article
Application of Extreme Learning Machine Algorithm for Drought Forecasting
Table 4
The candidacy of appropriate distributions according to their respective BIC values for SPTI-1.
| Distribution | Mianwali | Sialkot | Muzaffarabad | Astore | Chitral | Multan | Kalat | Chhor | Kohat |
| 2P beta | −260.71 | −387.86 | −278.31 | −280.10 | −216.46 | −63.88 | −418.16 | −244.53 | −228.65 | 3P Weibull | −472.53 | −718.58 | −555.22 | −480.83 | −400.89 | −317.25 | −638.60 | −444.44 | −622.28 | 4P beta | −463.53 | −722.18 | −584.52 | −469.79 | −393.88 | −311.66 | −664.62 | −434.07 | −616.67 | Arcsine | −211.50 | −322.48 | −364.18 | −272.85 | −194.87 | −38.61 | −353.11 | −178.98 | −216.75 | Burr | −49.90 | −291.37 | −351.96 | −347.29 | −87.23 | 259.98 | −111.45 | 197.60 | −315.30 | Cauchy | −218.97 | −414.95 | −460.90 | −367.96 | −227.51 | −87.98 | −498.98 | −289.68 | −322.84 | Chi | −292.62 | −424.20 | −186.90 | −247.93 | −245.62 | 113.16 | −220.02 | 130.71 | −315.76 | Chi-square | −321.57 | −546.12 | −456.49 | −441.42 | −271.12 | 125.40 | −179.55 | 136.71 | −588.65 | Cosine | −5.68 | −181.37 | −403.03 | −192.31 | −48.26 | 267.44 | −64.93 | 206.84 | −159.22 | Curv. trapezoidal | −163.25 | −349.64 | −555.47 | −375.44 | −169.25 | −117.58 | −60.78 | −236.04 | −415.05 | Exponential | −128.46 | −375.68 | −561.96 | −401.81 | −163.06 | 106.66 | −407.55 | −244.95 | −496.17 | F-dist | −295.38 | −613.36 | −361.98 | −457.56 | −248.41 | 158.37 | −180.79 | 152.12 | −490.64 | Gamma | −316.77 | −648.41 | −557.36 | −477.56 | −268.29 | −70.08 | −441.22 | −246.11 | −584.11 | Gen. ext. value | −320.78 | −565.13 | −526.85 | −456.48 | −316.84 | −242.60 | −620.84 | −441.41 | −431.50 | Gen. normal | −366.43 | −633.43 | −533.60 | −476.01 | −358.69 | −303.25 | −627.76 | −443.34 | −466.85 | Gumbel | −179.72 | −379.06 | −527.12 | −389.62 | −195.10 | −35.02 | −431.30 | −244.43 | −376.46 | Inv. chi-square | −148.95 | −274.23 | −379.11 | −273.05 | −162.67 | 15.23 | −356.13 | −200.45 | −239.52 | Inv. Gamma | −298.53 | −536.09 | −421.80 | −396.36 | −296.90 | −174.70 | −535.77 | −276.36 | −325.84 | Inv. Gaussian | −178.04 | −440.80 | −429.50 | −356.23 | −229.22 | −55.60 | −485.95 | −253.33 | −252.24 | Johnson SB | −364.48 | −633.93 | −547.57 | −478.62 | −357.49 | −298.02 | −623.36 | −445.58 | −463.74 | Johnson SU | −361.60 | −628.62 | −528.86 | −471.37 | −354.24 | −298.52 | −623.36 | −445.58 | −461.94 | Laplace | −184.73 | −413.96 | −480.10 | −382.24 | −201.82 | −41.51 | −439.14 | −245.85 | −339.58 | Logistic | −176.53 | −360.75 | −496.70 | −365.07 | −190.99 | −30.47 | −425.80 | −243.25 | −333.03 | Log-normal | −319.29 | −610.18 | −470.78 | −478.07 | −301.39 | −139.80 | −486.30 | −259.66 | −453.97 | Normal | −169.86 | −345.46 | −498.92 | −357.27 | −184.07 | −21.42 | −418.91 | −240.70 | −327.01 | Rayleigh | −171.77 | −356.66 | −524.70 | −373.83 | −186.34 | −23.85 | −420.65 | −241.01 | −358.02 | Scaled t-dist | −241.83 | −423.80 | −494.18 | −369.08 | −242.48 | −122.45 | −535.64 | −356.41 | −330.06 | Skewed-normal | −167.53 | −360.64 | −558.46 | −384.42 | −182.86 | −19.95 | −417.15 | −236.57 | −400.74 | Trapezoidal | −134.44 | −326.85 | −548.58 | −361.71 | −171.10 | −8.78 | −409.37 | −231.50 | −389.97 | Triangular | −91.67 | −331.66 | −553.32 | −366.35 | −175.48 | 24.70 | −413.76 | −236.04 | −394.58 | Uniform | −94.00 | −244.30 | −269.41 | −274.09 | −124.13 | 170.57 | −80.62 | 144.85 | −261.94 | von Mises | −169.96 | −348.32 | −392.92 | −364.93 | −184.39 | −21.44 | −419.38 | −240.71 | −331.99 |
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