نتایج جستجو برای: skew normal distribution

تعداد نتایج: 1139520  

A. Habibi Rad N.R. Arghami Z. Javanshiri

In this paper, we propose and study exp-kumaraswamy distribution. Some of its properties  are derived, including the density function, hazard rate function, quantile function, moments,  skewness  and kurtosis.   Adata set isused to illustrate an application of the proposed distribution. Also, we obtain a new distribution by transformation onexp-kumaraswamy distribution.   New distribution is an...

Journal: :Communications in Statistics - Theory and Methods 2007

Journal: :journal of sciences, islamic republic of iran 2015
z. javanshiri a. habibi rad n.r. arghami

in this paper, we propose and study exp-kumaraswamy distribution. some of its properties  are derived, including the density function, hazard rate function, quantile function, moments,  skewness  and kurtosis.   adata set isused to illustrate an application of the proposed distribution. also, we obtain a new distribution by transformation onexp-kumaraswamy distribution.   new distribution is an...

Journal: :Chest 1989
B L Laube J M Links N D LaFrance H N Wagner B J Rosenstein

We characterized the bronchopulmonary distribution of a 0.9 percent saline aerosol (1.12 microM) labelled with 99mTc sulfur colloid in nine normal subjects and five patients with CF. Homogeneity of distribution was quantified using indices derived from computerized analysis of Anger camera pulmonary images including skew (a measure of distribution asymmetry) and kurtosis (a measure of distribut...

Journal: :Statistics in medicine 2010
Dipankar Bandyopadhyay Victor H Lachos Carlos A Abanto-Valle Pulak Ghosh

Bivariate clustered (correlated) data often encountered in epidemiological and clinical research are routinely analyzed under a linear mixed model (LMM) framework with underlying normality assumptions of the random effects and within-subject errors. However, such normality assumptions might be questionable if the data set particularly exhibits skewness and heavy tails. Using a Bayesian paradigm...

Journal: :Journal of the Korean Data and Information Science Society 2013

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