A new method for generating distributions with an application to exponential distribution
ABSTRACT A new method has been proposed to introduce an extra parameter to a family of
distributions for more flexibility. A special case has been considered in detail, namely one …
distributions for more flexibility. A special case has been considered in detail, namely one …
On the unit Burr-XII distribution with the quantile regression modeling and applications
MÇ Korkmaz, C Chesneau - Computational and Applied Mathematics, 2021 - Springer
In this paper, we modify the Burr-XII distribution through the inverse exponential scheme to
obtain a new two-parameter distribution on the unit interval called the unit Burr-XII …
obtain a new two-parameter distribution on the unit interval called the unit Burr-XII …
Weighted distributions: A brief review, perspective and characterizations
A Saghir, GG Hamedani… - … journal of Statistics …, 2017 - epublications.marquette.edu
The weighted distributions are widely used in many fields such as medicine, ecology and
reliability, to name a few, for the development of proper statistical models. Weighted …
reliability, to name a few, for the development of proper statistical models. Weighted …
A new extension of generalized exponential distribution with application to ozone data
S Dey, A Alzaatreh, C Zhang… - Ozone: Science & …, 2017 - Taylor & Francis
In this article, a new distribution, called transformed Generalized Exponential Distribution ()
is proposed. The distribution has simple closed forms pdf and cdf. Several properties of the …
is proposed. The distribution has simple closed forms pdf and cdf. Several properties of the …
Weighted exponential distribution: properties and different methods of estimation
In this article, we investigate various properties and methods of estimation of the Weighted
Exponential distribution. Although, our main focus is on estimation (from both frequentist and …
Exponential distribution. Although, our main focus is on estimation (from both frequentist and …
The log-weighted exponential regression model: alternative to the beta regression model
E Altun - Communications in Statistics-Theory and Methods, 2021 - Taylor & Francis
In this paper, we introduce a new two-parameter distribution, called log-weighted
exponential (log-WE) distribution, defined on the unit interval. Some of the statistical …
exponential (log-WE) distribution, defined on the unit interval. Some of the statistical …
The length-biased weighted exponentiated inverted exponential distribution: properties and estimation
MM Salama, ESA El-Sherpieny… - … Journal of Mathematical …, 2023 - journals.ekb.eg
This paper introduces the length-biased weighted exponentiated inverted exponential
distribution with sub models. The basic statistical properties are derived such as mean …
distribution with sub models. The basic statistical properties are derived such as mean …
Unit upper truncated Weibull distribution with extension to 0 and 1 inflated model–Theory and applications
A two-parameter unit distribution and its regression model plus its extension to 0 and 1
inflation is introduced and studied. The distribution is called the unit upper truncated Weibull …
inflation is introduced and studied. The distribution is called the unit upper truncated Weibull …
Alpha power transformed inverse Lomax distribution with different methods of estimation and applications
RA ZeinEldin, M Ahsan ul Haq, S Hashmi… - …, 2020 - Wiley Online Library
In this paper, a new three‐parameter lifetime distribution, alpha power transformed inverse
Lomax (APTIL) distribution, is proposed. The APTIL distribution is more flexible than inverse …
Lomax (APTIL) distribution, is proposed. The APTIL distribution is more flexible than inverse …
A new discrete distribution
HS Bakouch, MA Jazi, S Nadarajah - Statistics, 2014 - Taylor & Francis
A new one-parameter discrete distribution is introduced. Its mathematical properties and
estimation procedures are derived. Four real data sets are used to show that the new model …
estimation procedures are derived. Four real data sets are used to show that the new model …