&>GNonlinear(Nonlinear(Loss( :lossWeibull), Loss is Neg LogLikelihood(1)))FNonlinear 2(Nonlinear(Loss( :lossB10W), Loss is Neg LogLikelihood(1)))RNonlinear 3(Nonlinear(Loss( :Name("lossF(10000)")), Loss is Neg LogLikelihood(1)))&~lH=<<<knj Distance (km)  c. c  @,@&@@+@@@.@@@%@4@Ƕ@@#@ɯ@ @O@l@@@!@x@@҄@҉@@ӡ@ӡ@ӭ@@i@+@@@Ā@؀@<@q Failure Mode  &  M1NoneNoneNoneM2NoneNoneNoneNoneNone*NoneNoneM1NoneM2NoneNoneNoneM12M1aVNonea8XNoneW,XNone_XM_XNoneM_XM_NoneM_XMNoneXM_XM2M_XM_XNoneM_XM_NoneM_XMNoneXM_XM2M_XM_XM1XM_XM_NoneM_XMM1M_XM_XNone_XM_XM1XM_XM_NoneM_XMNone0^Censor  c. c  ??????????????????????????? lossWeibull  cFormula(Parameter({sigma = 1, mu = 10}, If( :Censor == 0, (Log(sigma) - (Log( :Name("Distance (km)")) - mu) / sigma) + Exp((Log( :Name("Distance (km)")) - mu) / sigma), Exp((Log( :Name("Distance (km)")) - mu) / sigma)))) c  ?踧9*?10w?ָt?يIBs?#??ku?܈oEP?n_\/u?^z?75?B]`&??PE$?ⲏ??(b?]?㑶'uQ?e+B?L?c5Vj?{i?X.?ڶLs?니)1?N28?2?x?3 !?F.M?Vrx ?S?u9?'l\?JڎM?M?lh/(?B_+'?ilFSlossB10W  cX$Formula(Parameter({b10 = 10, sigma = 1}, If( :Censor == 0, (Log(sigma) - (Log( :Name("Distance (km)")) - Log(b10) - 2.25 * sigma) / sigma) + Exp((Log( :Name("Distance (km)")) - Log(b10) - 2.25 * sigma) / sigma), Exp((Log( :Name("Distance (km)")) - Log(b10) - 2.25 * sigma) / sigma)))) c  @P k@RP(RzR@T8V.@W)V@V㽰2@Yt3@Y!f+[@]7(,@^͌bp@_9z),@_MW @_ uK@^>@`oj@`coO@ab@a KZ@b`Y3H@b6#P@fn_@gNW@g[U@hN-@h n@iT&@i-@i㿱s@j{G3cW@j$Zv@jzgOC@jvt˩@m8&@n^@q}`@rcm@q,@@r_UZ}&@re lossF(10000)  cg_Formula(Parameter({sigma = 1, F10000 = 0.5}, If( :Censor == 0, (Log(sigma) - (Log( :Name("Distance (km)")) - (Log(10000) - sigma * Log(-Log(1 - F10000)))) / sigma) + Exp((Log( :Name("Distance (km)")) - (Log(10000) - sigma * Log(-Log(1 - F10000)))) / sigma), Exp((Log( :Name("Distance (km)")) - (Log(10000) - sigma * Log(-Log(1 - F10000)))) / sigma)))) c  ?ϊnRp?Ȥ?Xf?1)WWB?sqF?m3g? uI?.4 ?Oqӗ?Hxce?Y`U?h?&?6{?=gj?I;?s~?VO?$G?(c\?R4K?s9$?4]?v2H?R? x7|?|?TE'?J+ŷ?XB+v?'3? M?n`