Research Article

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

Table 5

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

Regions

Squared error loss function
 Gawadar22.09862 (3.40180)25.17416 (4.03795)20.29573 (2.75227)18.37474 (2.20254)0.24633 (0.00097)0.26313 (0.00130)0.24886 (0.00097)
 Jiwani21.07811 (3.12660)21.39131 (3.27770)17.13897 (1.98987)15.84827 (1.55899)0.25857 (0.00100)0.25406 (0.00100)0.24161 (0.00093)
 Ormara32.02575 (8.58214)36.90153 (13.03739)34.27618 (8.99790)23.75721 (4.17342)0.24968 (0.00114)0.22155 (0.00109)0.26842 (0.00121)
 Pasni27.00902 (4.81070)31.29159 (6.38923)28.17820 (4.96292)24.00316 (3.99860)0.25013 (0.00100)0.25174 (0.00102)0.26269 (0.00103)
Modified squared error loss function
 Gawadar22.25256 (0.00692)25.33456 (0.00633)20.43134 (0.00664)18.49461 (0.00648)0.25027 (0.01573)0.26702 (0.00142)0.25275 (0.01542)
 Jiwani21.22644 (0.00699)21.54454 (0.00711)17.25507 (0.00673)15.94664 (0.00617)0.26244 (0.00387)0.25801 (0.01526)0.24548 (0.01635)
 Ormara32.29373 (0.00829)37.25483 (0.00948)34.53869 (0.00760)23.93288 (0.00734)0.25425 (0.01796)0.22645 (0.02173)0.27293 (0.01652)
 Pasni27.18713 (0.00655)31.49577 (0.00648)28.35433 (0.00621)24.16975 (0.00689)0.25415 (0.01573)0.25578 (0.01584)0.26663 (0.01471)