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We also present two numerical illustrations, where we observe better fit of the generalized form of Moranda’s model for the software reliability data, in, Introduction Central in Bayesian statistics is Bayes' theorem, which can be written as follows: ß(`jx) / f(xj`)ß(`): Given the likelihood function f(xj`) and the prior ß(`), it is easy to calculate the posterior distribution of `, ß(`jx), which is used for doing inference. @VBdp]8:82=8A$Fc_D=]u.M:2"A`)@"IIlj;>KYT8_#.=_$cBBcL.T@-'N"+O@TM@[@a/t1hiTsA:m07TTg^m85si&08ncJH
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