%0 Journal Article
%T Modeling of Diabetic Patients Associated with Age: Polynomial Model Approach
%J International Journal of Statistics and Applications
%@ 2168-5215
%D 2011
%I 
%R 10.5923/j.statistics.20110101.01
%X Diabetes mellitus is a set of diseases that involves troubles with the hormone insulin. It is characterized by chronic elevation of blood glucose level exceeding normal value. In this paper, an effort has been made to fit mathematical model to diabetic patients as well as its cumulative distribution for both sexes associated with age of in . For this purpose, the data have been taken from Noor (2008). In this study, an attempt has been given attention to show that the polynomial model is tried to fit to the distribution of diabetic patients associated with age as well as its cumulative distribution. It is found that the distribution of diabetic patients for both sexes associated with age follows bi-quadratic polynomial model. Moreover, it is investigated that cumulative distribution of diabetic patients follow cubic polynomial model. Cross validity prediction power is employed to the fitted model to verify the stability of the model in this manuscript.
%K Distribution Of Diabetic Patients
%K Polynomial Model
%K Variance Explained (R2)
%K Cross Validity Prediction Power (Cvpp)
%K F-Test
%U http://article.sapub.org/10.5923.j.statistics.20110101.01.html