Research Article

Bayesian Exploration of 4-Component Rayleigh Mixture Model with Wind Speed Data Application

Table 6

BEs and PRs assuming SRIGP using real data sets under SELF and MSELF (n = 192, T = 54 km/h).

Regions

Squared error loss function
 Gawadar21.16143 (5.58041)24.39948 (5.94603)19.59911 (4.47379)17.78698 (3.68636)0.24732 (0.22296)0.26385 (0.00102)0.24847 (0.00096)
 Jiwani21.15542 (5.99261)20.63356 (5.45619)16.33469 (3.72234)15.52821 (3.20569)0.25311 (0.00101)0.26089 (0.00103)0.24640 (0.00095)
 Ormara26.92166 (6.77569)27.30846 (6.44304)29.29314 (6.83288)22.62108 (4.71242)0.24761 (0.00097)0.25734 (0.00010)0.25360 (0.00099)
 Pasni25.43729 (6.37542)28.53199 (6.81371)27.04767 (6.19691)22.0599 (4.67884)0.24681 (0.00096)0.25951 (0.00100)0.25208 (0.00098)
Modified squared error loss function
 Gawadar21.42514 (0.01231)24.64317 (0.00989)19.2737 (0.01151)17.99423 (0.01152)0.25121 (0.01545)0.26773 (0.01444)0.25234 (0.01531)
 Jiwani21.43869 (0.01321)20.89709 (0.01265)16.56257 (0.01376)15.73465 (0.01312)<0.25708 (0.01552)0.06482 (0.01491)0.25024 (0.01541)
 Ormara27.17334 (0.00926)27.54440 (0.00857)29.52640 (0.00790)22.82940 (0.00913)0.25152 (0.01557)0.26121 (0.00149)0.25749 (0.01516)
 Pasni25.68792 (0.00796)28.77080 (0.00830)27.27678 (0.00840)22.61481 (0.00923)0.25072 (0.01551)0.26338 (0.01463)0.25595 (0.01519)