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

Table 2

The BEs and PRs assuming UP under SELF and MSELF with  = 8.

n
Squared error loss function
200	3.03695 (0.12485)	3.00299 (0.09846)	2.61160 (0.16071)	3.87367 (0.16662)	0.30284 (0.00160)	0.20410 (0.00125)	0.15350 (0.00067)
300	3.01314 (0.08713)	2.97731 (0.14390)	2.56863 (0.10095)	3.96828 (0.12098)	0.30051 (0.00079)	0.20229 (0.00059)	0.15224 (0.00043)
400	3.02666 (0.05632)	2.95861 (0.07994)	2.54267 (0.08794)	4.00931 (0.07835)	0.30064 (0.00059)	0.20290 (0.00043)	0.15169 (0.00032)
500	3.05018 (0.05272)	2.91776 (0.07378)	2.52261 (0.05308)	4.02139 (0.06326)	0.30075 (0.00047)	0.20166 (0.00035)	0.15114 (0.00026)
Modified squared error loss function
200	3.07806 (0.01336)	3.06908 (0.02153)	2.67314 (0.02302)	3.91669 (0.01098)	0.30666 (0.01723)	0.21025 (0.02913)	0.15785 (0.02765)
300	3.04206 (0.00951)	3.02564 (0.01597)	2.60793 (0.01507)	3.99877 (0.00726)	0.30285 (0.00868)	0.20520 (0.01421)	0.15508 (0.01821)
400	3.04527 (0.00611)	2.98563 (0.00905)	2.57727 (0.01342)	4.02885 (0.00485)	0.30259 (0.00649)	0.20503 (0.01034)	0.15380 (0.00211)
500	3.06746 (0.00563)	2.94304 (0.00859)	2.54365 (0.00827)	4.03712 (0.00390)	0.30231 (0.00517)	0.20341 (0.00853)	0.15284 (0.01413)