Table 4: MSEs and Abs. Biases (in parenthesis) for the failure rate using GNP.

, [3] , [3]

25BS1.60882 (0.60581)0.75601 (0.74247)0.26918 (0.22161)0.08242 (0.24192)
[3.50808 (0.66123)][0.70983 (0.72011)][0.21814 (0.22270)][0.08227 (0.24568)]
BL 3.10223 (0.66497)0.66435 (0.70130)0.24086 (0.21740)0.07698 (0.23560)
[0.97145 (0.64334)][0.73049 (0.73445)][0.46015 (0.22941)][0.08183 (0.24475)]
BL 5.07183 (0.70026)0.72658 (0.71728)0.17702 (0.22059)0.07997 (0.24249)
[1.89290 (0.65885)][0.72855 (0.73625)][0.28853 (0.22911)][0.07864 (0.23852)]
BL 2.57595 (0.67277)0.70089 (0.71957)0.19602 (0.21443)0.08062 (0.24190)
[1.42447 (0.65551)][0.73245 (0.73581)][0.26676 (0.22149)][0.08261 (0.24604)]
BL 2.47065 (0.68677)0.68712 (0.70818)0.29206 (0.22263)0.07838 (0.24087)
[2.90974 (0.65568)][0.69822 (0.71461)][0.31298 (0.23181)][0.08179 (0.24609)]
BG 5.09142 (0.63923)0.68482 (0.71454)0.32629 (0.21537)0.07963 (0.24117)
[1.59876 (0.64264)][0.71224 (0.72443)][0.39187 (0.22194)][0.08104 (0.24269)]
BG 1.11653 (0.60663)0.73329 (0.72535)0.28561 (0.21867)0.07938 (0.24085)
[2.05799 (0.65800)][0.67003 (0.70302)][0.28235 (0.28235)][0.07783 (0.24017)]
BG 3.26989 (0.63433)0.70409 (0.72102)0.14943 (0.21824)0.08079 (0.24219)
[3.59616 (0.65300)][0.70879 (0.71412)][0.20827 (0.22005)][0.08084 (0.24227)]
BG 1.56123 (0.63166)0.68200 (0.71084)0.22126 (0.21289)0.07983 (0.24229)
[1.82844 (0.64736)][0.71757 (0.72167)][0.16709 (0.21693)][0.07978 (0.24356)]

50BS0.99284 (0.55903)0.53895 (0.64125)0.21602 (0.18856)0.06088 (0.21759)
[1.20392 (0.55531)][0.53767 (0.64578)][0.23509 (0.18781)][0.05879 (0.21411)]
BL 0.85858 (0.55004)0.54626 (0.65313)0.21497 (0.18676)0.06021 (0.21590)
[0.84299 (0.54806)][0.54644 (0.65612)][0.18170 (0.18565)][0.06051 (0.21811)]
BL 0.90621 (0.56868)0.55652 (0.65539)0.17717 (0.18777)0.06052 (0.21565)
[0.70963 (0.54405)][0.53659 (0.64556)][0.19359 (0.18475)][0.06063 (0.21566)]
BL 0.84116 (0.54422)0.55124 (0.65304)0.19584 (0.18896)0.06132 (0.21808)
[1.05227 (0.55656)][0.55016 (0.65747)][0.19113 (0.18416)][0.06118 (0.21996)]
BL 0.83699 (0.55410)0.54021 (0.64881)0.19281 (0.18479)0.06111 (0.21948)
[0.87199 (0.55693)][0.52738 (0.63962)][0.18451 (0.18884)][0.06072 (0.21715)]
BG 1.08699 (0.55039)0.55381 (0.65826)0.17302 (0.18223)0.06119 (0.21882)
[0.95041 (0.55106)][0.54985 (0.65467)][0.24233 (0.18548)][0.06097 (0.21819)]
BG 1.12507 (0.55889)0.55956 (0.66129)0.25057 (0.19005)0.06023 (0.21461)
[1.01425 (0.55157)][0.55221 (0.65488)][0.11878 (0.18655)][0.06018 (0.21560)]
BG 1.17354 (0.55312)0.57334 (0.67120)0.17699 (0.18661)0.06244 (0.22011)
[1.00135 (0.56841)][0.54657 (0.64917)][0.10609 (0.18484)][0.05985 (0.21521)]
BG 1.18804 (0.56841)0.56341 (0.66432)0.13249 (0.18605)0.06024 (0.21510)
[1.15358 (0.55573)][0.54699 (0.65363)][0.14781 (0.18359)][0.06057 (0.21754)]

100BS0.66670 (0.53230)0.48857 (0.63609)0.05482 (0.17604)0.05524 (0.21483)
[0.44568 (0.52663)] [0.49065 (0.64062)][0.06864 (0.17410)][0.05323 (0.21001)]
BL 0.47245 (0.53712)0.48375 (0.63740)0.04677 (0.16927)0.05397 (0.21152)
[0.48126 (0.52985)][0.49223 (0.64333)][0.06145 (0.17697)][0.05467 (0.21400)]
BL 0.50560 (0.52798)0.48800 (0.63826)0.06408 (0.17864)0.05512 (0.21358)
[0.48709 (0.52132)][0.47258 (0.62645)][0.06531 (0.17577)][0.05552 (0.21507)]
BL 0.44645 (0.52047)0.48540 (0.63612)0.06605 (0.17422)0.05524 (0.21454)
[0.80817 (0.52984)][0.48774 (0.63795)][0.06651 (0.17786)][0.05648 (0.21780)]
BL 0.50473 (0.52856)0.49342 (0.64368)0.05039 (0.17666)0.05434 (0.21327)
[0.52768 (0.53450)][0.49421 (0.64037)][0.07692 (0.17494)][0.05561 (0.21493)]
BG 0.44440 (0.51305)0.49572 (0.64148)0.07150 (0.17498)0.05361 (0.21112)
[0.59699 (0.52223)][0.49308 (0.64049)][0.05309 (0.17608)][0.05444 (0.21287)]
BG 0.49145 (0.52292)0.49925 (0.64372)0.05013 (0.17478)0.05340 (0.21109)
[0.46108 (0.52107)][0.49309 (0.63951)][0.04829 (0.17618)][0.05185 (0.20729)]
BG 0.50315 (0.52624)0.50124 (0.64500)0.05319 (0.17324)0.05761 (0.22003)
[0.45561 (0.52818)][0.49235 (0.64167)][0.05073 (0.17732)][0.05492 (0.21381)]
BG 0.55240 (0.52938)0.51051 (0.65583)0.04795 (0.17732)0.05482 (0.21406)
[0.42269 (0.52581)][0.48926 (0.63954)][0.06453 (0.17769)][0.05630 (0.21743)]

GNP: generalised noninformative prior, BG: general entropy loss function, BL: LINEX loss function, BS: squared error loss function.