The Discrete Inverse Burr Distribution with Characterizations, Properties, Applications, Bayesian and Non-Bayesian Estimations

نویسندگان

چکیده

A new one-parameter heavy tailed discrete distribution with infinite mean is defined and studied. The probability mass function of the can be "unimodal right skewed" its failure rate monotonically decreasing. Some relevant properties are discussed. characterizations based on: (i) conditional expectation a certain random variable (ii) in terms reversed hazard presented. Different Bayesian non-Bayesian estimation methods described compared using simulations two real data applications given. model used to carious teeth counts cysts kidneys datasets, it outperforms many well-known competitive models.

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

On Burr III-Inverse Weibull Distribution with COVID-19 Applications

We introduce a flexible lifetime distribution called Burr III-Inverse Weibull (BIII-IW). The new proposed distribution has well-known sub-models. The BIII-IW density function includes exponential, left-skewed, right-skewed and symmetrical shapes. The BIII-IW model’s failure rate can be monotone and non-monotone depending on the parameter values. To show the importance of the BIII-IW distributio...

متن کامل

Generalized exponential distribution: Bayesian estimations

Recently two-parameter generalized exponential distribution has been introduced by the authors. In this paper we consider the Bayes estimators of the unknown parameters under the assumptions of gamma priors on both the shape and scale parameters. The Bayes estimators can not be obtained in explicit forms. Approximate Bayes estimators are computed using the idea of Lindley. We also propose Gibbs...

متن کامل

bayesian and non-bayesian estimation of stress–strength model for pareto type i distribution

this article examines statistical inference for  where and are independent but not identically distributed pareto of the first kind (pareto (i)) random variables with same scale parameter but different shape parameters. the maximum likelihood, uniformly minimum variance unbiased and bayes estimators with gamma prior are used for this purpose. simulation studies which compare the estimators are ...

متن کامل

E-Bayesian Estimations of Reliability and Hazard Rate based on Generalized Inverted Exponential Distribution and Type II Censoring

Introduction      This paper is concerned with using the Maximum Likelihood, Bayes and a new method, E-Bayesian, estimations for computing estimates for the unknown parameter, reliability and hazard rate functions of the Generalized Inverted Exponential distribution. The estimates are derived based on a conjugate prior for the unknown parameter. E-Bayesian estimations are obtained based on th...

متن کامل

Improving the Performance of Bayesian Estimation Methods in Estimations of Shift Point and Comparison with MLE Approach

A Bayesian analysis is used to detect a change-point in a sequence of independent random variables from exponential distributions. In This paper, we try to estimate change point which occurs in any sequence of independent exponential observations. The Bayes estimators are derived for change point, the rate of exponential distribution before shift and the rate of exponential distribution after s...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Statistics, Optimization and Information Computing

سال: 2022

ISSN: ['2310-5070', '2311-004X']

DOI: https://doi.org/10.19139/soic-2310-5070-1393