• Corpus ID: 239050240

Discrete Teissier distribution: properties, estimation and application

  title={Discrete Teissier distribution: properties, estimation and application},
  author={Bhupendra Kumar Singh and Varun Agiwal and Ravi Singh and Abhishek Tyagi},
In this article, a discrete analogue of continuous Teissier distribution is presented. Its several important distributional characteristics have been derived. The estimation of the unknown parameter has been done using the method of maximum likelihood and the method of moment. Two real data applications have been presented to show the applicability of the proposed model. 

Figures and Tables from this paper


A discrete analogue of odd Weibull-G family of distributions: properties, classical and Bayesian estimation with applications to count data
In the statistical literature, several discrete distributions have been developed so far. However, in this progressive technological era, the data generated from different fields is getting complic...
The discrete Lindley distribution: properties and applications
Modelling count data is one of the most important issues in statistical research. In this paper, a new probability mass function is introduced by discretizing the continuous failure model of the
Discrete Weibull geometric distribution and its properties
ABSTRACT In this article, the discrete analog of Weibull geometric distribution is introduced. Discrete Weibull, discrete Rayleigh, and geometric distributions are submodels of this distribution.
A new discrete probability distribution with integer support on (−∞, ∞)
ABSTRACT A new discrete probability distribution with integer support on (−∞, ∞) is proposed as a discrete analog of the continuous logistic distribution. Some of its important distributional and
Generating discrete analogues of continuous probability distributions-A survey of methods and constructions
In this paper a comprehensive survey of the different methods of generating discrete probability distributions as analogues of continuous probability distributions is presented along with their
A one-parameter discrete distribution for over-dispersed data: statistical and reliability properties with applications
In the literature of distribution theory, a vast proportion is acquired by discrete distributions and their applications in real-world phenomena, but in a rapidly changing technological era, this proportion is rapidly changing.
Discrete Rayleigh distribution
  • D. Roy
  • Computer Science
    IEEE Transactions on Reliability
  • 2004
Using a general approach for discretization of continuous life distributions in the univariate & bivariate situations, a discrete Rayleigh distribution is proposed, which can replace the much relied upon simulation method.
Discrete Gompertz-G Family of Distributions for Over- and Under-Dispersed Data with Properties, Estimation, and Applications
Alizadeh et al. introduced a flexible family of distributions, in the so-called Gompertz-G family. In this article, a discrete analogue of the Gompertz-G family is proposed. We also study some of its
A new one-parameter discrete distribution with associated regression and integer-valued autoregressive models
Abstract This study introduces the Poisson-Bilal distribution and its associated two models for modeling the over-dispersed count data sets. The Poisson-Bilal distribution has tractable properties