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We first consider the maximum likelihood estimation by fixing the parameter v and finding the maximum point ( left({widehat{p}}_{nu },{widehat{alpha}}_{nu },{widehat{beta}}_{nu}right) ) of the function (13).
M8a tests for neutral evolution by fixing the parameter ω = 1.
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By fixing the parameters in the boundary conditions of (1.1), we obtain some new results.
We observe that some new special results follow by fixing the parameters involved in the given problem.
Our results are new and yield several new ones by fixing the parameters r and h appropriately.
The boundary conditions introduced in this work are of quite general nature and reduce to many special cases by fixing the parameters involved in the conditions.
We emphasize that our results are new, and several special results can be obtained by fixing the parameters α, β, ξ, η involved in the problems at hand.
The results presented in this paper are more general and correspond to several known and new results by fixing the parameters involved in problem (1.1) appropriately.
Next, in order to confirm the effectiveness of (ii), we show two results obtained by fixing the parameters, which determine the distribution shape of the prior probability, as β s, t ( i ) = 1 and β s, t ( i ) = 2 in Figure 10a,b, respectively.
Computations were carried out by fixing the parameters (Pr=0.71, N=2, Br=0.5, Da=0.5, Re=2, Sc=0.22, Gr=0.5) to analyze the effects of the emerging parameters (beta _1), (beta _2), Sr, (D_f) and K. Figure 11 presents the influence of the slip flow parameter (beta _1) on (f eta )).
Computations were carried out by fixing the parameters ({rm Re} = 2.0,, N = 5,, {rm Pr} = 0.71,, {rm Gr} = 1.0,, text{ and },{rmm Sc} = 0.22) to analyze the effects of the emerging parameters Ha, (beta _{rm h}), Sr, Da, J and (epsilon).
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