In this manuscript, a new class of extended (m1,m2)-convex and concave functions is introduced. After some properties of (m1,m2)-convex functions have been given, the inequalities obtained with Hölder and Hölder-İşcan and power-mean and improwed power-mean integral inequalities have been compared and it has been shown that the inequality with Hölder-İşcan inequality gives a better approach than...

background exploring changes in health inequality and its determinants over time is of policy interest. accordingly, this study aimed to decompose inequality in neonatal mortality into its contributing factors and then explore changes from 1995-2000 to 2005-2010 in iran.   methods required data were drawn from two iran’s demographic and health survey (dhs) conducted in 2000 and 2010. normalized...

K-nearest neighbor (KNN) is an effective nonparametric classifier that determines the neighbors of a point based only on distance proximity. The classification performance KNN disadvantaged by presence outliers in small sample size datasets and its deteriorates with class imbalance. We propose local Bonferroni Mean Fuzzy K-Nearest Centroid Neighbor (BM-FKNCN) assigns label query dependent neare...

Background Exploring changes in health inequality and its determinants over time is of policy interest. Accordingly, this study aimed to decompose inequality in neonatal mortality into its contributing factors and then explore changes from 1995-2000 to 2005-2010 in Iran.   Methods Required data were drawn from two Iran’s demographic and health survey (DHS) conducted in 2000 and 2010. Normalized...

One of the simplest and most widely used multiple comparison tests is the Bonferroni adjustment (test). It is applicable to the following situations: 1) Regardless of whether or not the sample sizes of each group are equal. 2) When the family of interest is the particular set of comparisons (not all pair-wise comparisons). We can easily obtain the results of the Bonferroni comparison by multipl...

in this paper a general view of the gini decomposition is presented. in order to decompose the gini coefficient into within group inequality, between group inequality and transvariation inequality of the iranian urban and rural areas, the 2006 and 2010  micro-data and dagum (1997) method is used. the results indicate that about 48 percent of the inequality in the country as a whole has been due...