Univariate and bivariate lognormal distributions have demonstrated great utility in a number of applications related to decision sciences. In this paper, we utilized a "standardized" form of the univariate and bivariate lognormal distributions for our application part. It is noted that this methodology may be readily extended to the multivariate lognormal distribution also. The synergistic relation between GH-releasing secretagogue (GHS) and GH-releasing hormone (GHRH) with respect to GH

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... on is well known. We report a similar relation between GHRH and ghrelin, a recently identified endogenous ligand for the GH receptor. In normal male adults, various doses of ghrelin were intravenously administered alone or together with 1.0 µg/kg GHRH. At small doses of 0.08 and 0.2 µg/kg ghrelin, combined administration of the peptides significantly stimulated GH release in a synergistic manner, the mean GH response values of the two peptide combinations were more than the summed mean GH response values of each peptide alone (P<0.05). By using these results we have arrived conclusion from the mathematical figures given in section 5 for the application part. In medical conclusion they have given that ghrelin synergistically acted with GHRH in humans. This is clearly showed in the mathematical result that the function of GH is monotonically continuous and decreases in the cases of 0.08µg/kg,0.2µg/kg. and 1.0 µg/kg, when time increases.