# Journal of Statistical Distributions and Applications

Journal of Statistical Distributions and Applications > 2017 > 4 > 1 > 1-19

Journal of Statistical Distributions and Applications > 2017 > 4 > 1 > 1-20

*L*

_{1}-loss function, and an optimal solution by means of linear programming. In this paper, we propose a weighted quantile regression method. Monte Carlo simulations are performed to...

Journal of Statistical Distributions and Applications > 2017 > 4 > 1 > 1-17

Journal of Statistical Distributions and Applications > 2017 > 4 > 1 > 1-16

*Simpson’s Paradox*is the phenomenon that appears in some datasets, where subgroups with a common trend (say, all negative trend) show the reverse trend when they are aggregated (say, positive trend). Even if this issue has an elementary mathematical explanation, it has a deep statistical significance. In this paper, we discuss basic examples in arithmetic, geometry, linear algebra, statistics,...

Journal of Statistical Distributions and Applications > 2017 > 4 > 1 > 1-17

Journal of Statistical Distributions and Applications > 2017 > 4 > 1 > 1-17

*checkable*moment-(in)determinacy criteria including Cramér’s condition,...

Journal of Statistical Distributions and Applications > 2017 > 4 > 1 > 1-13

*d*-dimensional discrete multivariate distribution for which

*any proper subset*of its components belongs to a specific family of distributions. However, the joint

*d*-dimensional distribution fails to belong to that family and in other words, it is ‘

*inconsistent*’ with the distribution of these subsets. We also address preservation of this ‘inconsistency’ property for the symmetric Binomial...

Journal of Statistical Distributions and Applications > 2017 > 4 > 1 > 1-25

Journal of Statistical Distributions and Applications > 2017 > 4 > 1 > 1-34

Journal of Statistical Distributions and Applications > 2017 > 4 > 1 > 1-24

*Kw*TP) distribution is introduced and studied. We discuss various mathematical and statistical properties of the distribution including obtaining expressions for the moments, quantiles, mean deviations, skewness, kurtosis, reliability and order statistics. The estimation of the model parameters is performed by the method of maximum likelihood...

Journal of Statistical Distributions and Applications > 2017 > 4 > 1 > 1-12

*H*

_{0}of a logistic regression model holding can then be assessed by comparing the concentration of the posterior distribution about

*H*

_{0}with the concentration of the prior about

*H*

_{0}. This comparison is effected...

Journal of Statistical Distributions and Applications > 2017 > 4 > 1 > 1-25

Journal of Statistical Distributions and Applications > 2017 > 4 > 1 > 1-19

Journal of Statistical Distributions and Applications > 2017 > 4 > 1 > 1-25

*a*,

*b*,

*α*)-parametrization where

*a*

^{2}and

*b*

^{2}are the variances of the principle components and

*α*is an angle...

Journal of Statistical Distributions and Applications > 2017 > 4 > 1 > 1-8

*F*

_{1}=

*F*

_{2}, where

*F*

_{i}is the degree of rotational symmetry of distribution

*i*, through a permutation test. The...

Journal of Statistical Distributions and Applications > 2017 > 4 > 1 > 1-13

Journal of Statistical Distributions and Applications > 2017 > 4 > 1 > 1-23

*A*, back-shifted negative binomial, compound Poisson-negative binomial, discrete stable and exponentially tilted discrete stable laws. For...

Journal of Statistical Distributions and Applications > 2017 > 4 > 1 > 1-17

Journal of Statistical Distributions and Applications > 2017 > 4 > 1 > 1-16

Journal of Statistical Distributions and Applications > 2017 > 4 > 1 > 1-9