scholarly journals Introducing a New Lifetime Distribution of Power Series Distribution of the Family Gampertz

2016 ◽  
Vol 1 (2) ◽  
pp. 71-88
Author(s):  
Sh Yaghoubzadeh Shahrestani ◽  
A Shadrokh ◽  
M Yarmohammadi ◽  
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Author(s):  
Innocent Boyle Eraikhuemen ◽  
Julian Ibezimako Mbegbu ◽  
Friday Ewere

In this paper, we propose Complementary Kumaraswamy Weibull Power Series (CKWPS) Distributions. The method is obtained by compounding the Kumaraswamy-G distribution and Power Series distribution on a latent complementary distance problem base. The mathematical properties of the proposed class of distribution are studied. The method of Maximum Likelihood Estimation is used for obtaining the estimates of the model parameters. A member of the family is investigated in detail. Finally an application of the proposed class is illustrated using a real data set.


Author(s):  
Carsten Wiuf ◽  
Michael P.H Stumpf

In this paper, we discuss statistical families with the property that if the distribution of a random variable X is in , then so is the distribution of Z ∼Bi( X ,  p ) for 0≤ p ≤1. (Here we take Z ∼Bi( X ,  p ) to mean that given X = x ,  Z is a draw from the binomial distribution Bi( x ,  p ).) It is said that the family is closed under binomial subsampling. We characterize such families in terms of probability generating functions and for families with finite moments of all orders we give a necessary and sufficient condition for the family to be closed under binomial subsampling. The results are illustrated with power series and other examples, and related to examples from mathematical biology. Finally, some issues concerning inference are discussed.


2017 ◽  
Vol 87 (9) ◽  
pp. 1842-1862 ◽  
Author(s):  
K. S. Conceição ◽  
F. Louzada ◽  
M. G. Andrade ◽  
E. S. Helou

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