A skewed sinh-normal distribution and its properties and application to air pollution. Comm. Statist. Theor. Meth. 39, 426-443.V. Leiva, F. Vilca, N. Balakrishnan, and A. Sanhueza, A skewed sinh-normal distribution and its properties and application to air pollution, Comm. Statist. Theory...
We report on a study of some distributional properties and the Bayesian perspective of the class. A probabilistic representation of the distributions is also given. The representation is shown to be straightforward to specify the distribution and to implement computation, with output readily adapted ...
This chapter discusses the multivariate normal distribution, its properties and characterization. A random vector X = ( X 1 , …, X p )′ taking values x = ( x 1 , …, x p )′ in E p (Euclidean space of dimension p ) is said to have a p -variate. If the co-variance matrix...
Log-normal distribution is a commonly used prior in BEAST. It is used as a default prior for many critical parameters in phylogenetic models implemented BEAST, such as the uncorrelated relaxed clock rate. Despite of its popularity in prior specification, however, its statistical properties and how...
R. Anusree, On modified generalized skew normal distribution and some of its properties, Journal of Statistical Theory and Practice, 9(3)(2015b), 489-505.Kumar, C. S. and Anusree, M. R. (2014b). On a modified generalized skew normal distribu- tion and some of its properties, J. ...
and . We say that has anormal distributionwith mean and variance if and only if its probability density function is We often indicate the fact that has a normal distribution with mean and variance by To better understand how the shape of the distribution depends on its parameters, you can ha...
Explore normal distribution. Learn the definition of a normal distribution and understand its different characteristics. Discover normal...
Unlikenormfitandmle, which return parameter estimates,fitdistreturns the fitted probability distribution objectNormalDistribution. The object propertiesmuandsigmastore the parameter estimates. For an example, seeFit Normal Distribution Object. Probability Density Function ...
Properties of a normal distribution include: the normal curve is symmetrical about the mean; the mean is at the middle and divides the area into halves; the total area under the curve is equal to 1 for mean=0 and stdev=1; and the distribution is completely described by its mean and stdd...
Although normal distribution is a statistical concept, its applications in finance can be limited because financial phenomena—such as expected stock-market returns—do not fall neatly within a normal distribution. Prices tend to follow more of alog-normal distribution, right-skewed and with fatter ta...