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 ◽  
◽  
◽  
...  
Keyword(s):  
Power Series ◽  
Lifetime Distribution ◽  
Power Series Distribution ◽  
The Family ◽  
Distribution Of Power

scholarly journals Complementary Kumaraswamy Weibull Power Series Distribution: Some Properties and Application

2020 ◽  
pp. 361-398
Author(s):  
Innocent Boyle Eraikhuemen ◽  
Julian Ibezimako Mbegbu ◽  
Friday Ewere
Keyword(s):  
Power Series ◽  
Likelihood Estimation ◽  
Real Data ◽  
Model Parameters ◽  
Data Set ◽  
Power Series Distribution ◽  
Mathematical Properties ◽  
Method Of Maximum Likelihood ◽  
The Family ◽  
Distance Problem

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.

On estimating reliability function for the family of power series distribution

2019 ◽  
pp. 1-30
Author(s):  
Mriganka Mouli Choudhury ◽  
Rahul Bhattacharya ◽  
Sudhansu S. Maiti
Keyword(s):  
Power Series ◽  
Reliability Function ◽  
Power Series Distribution ◽  
The Family

scholarly journals A New Lifetime Distribution: The Beta Modified Weibull Power Series Distribution

2019 ◽  
Vol 16 (1) ◽  
pp. 1-31
Author(s):  
Ehsan Bahrami ◽  
◽  
Narges Yarmoghaddam ◽  
Keyword(s):  
Power Series ◽  
Lifetime Distribution ◽  
Power Series Distribution ◽  
Modified Weibull

Binomial subsampling

2006 ◽  
Vol 462 (2068) ◽  
pp. 1181-1195 ◽  
Author(s):  
Carsten Wiuf ◽  
Michael P.H Stumpf
Keyword(s):  
Mathematical Biology ◽  
Power Series ◽  
Generating Functions ◽  
Binomial Distribution ◽  
Random Variable ◽  
Sufficient Condition ◽  
Necessary And Sufficient Condition ◽  
The Family ◽  
Necessary And Sufficient ◽  
Finite Moments

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.

Zero-modified power series distribution and its Hurdle distribution version

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

Modified Power Series Distribution

2006 ◽  
Author(s):  
Ramesh C. Gupta ◽  
Ram C. Tripathi
Keyword(s):  
Power Series ◽  
Power Series Distribution
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