2021International Journal of Statistics and Applied MathematicsOpen access

Linear-exponential distribution

Binod Kumar Sah

Open full text 0 citations

Abstract

In this paper, we introduce a new member of a family of continuous probability distribution which is based on the product of linear and exponential functions and hence, we named it ‘Linear-Exponential distribution’. Probability density function, probability distribution function and moment generating function of this distribution have been obtained. Moments about origin and hence, the first four central moments of the proposed distribution have been derived. The hazard rate function and the mean residual life function of the proposed distribution have been discussed, and show its flexibility over Lindley distribution. Estimation of parameters has been discussed by the method of moments as well as the method of maximum likelihood. Goodness of fit has been applied to different data-sets which were used by others and it has been observed that it gives better fit to the most of data-sets of same nature, having variance greater than the mean, than Lindley distribution.

Open-access reader

About this research paper

What this paper is about

In this paper, we introduce a new member of a family of continuous probability distribution which is based on the product of linear and exponential functions and hence, we named it ‘Linear-Exponential distribution’. Probability density function, probability distribution function and moment generating function of this distribution have been obtained. Moments about origin and hence, the first four central moments of the proposed distribution have been derived. The hazard rate function and the mean residual life function of the proposed distribution have been discussed, and show its flexibility over Lindley distribution. Estimation of parameters has been discussed by the method of moments as well as the method of maximum likelihood. Goodness of fit has been applied to different data-sets which were used by others and it has been observed that it gives better fit to the most of data-sets of same nature, having variance greater than the mean, than Lindley distribution.

Why it matters

A significance statement is not available in the OpenAlex record.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

In this paper, we introduce a new member of a family of continuous probability distribution which is based on the product of linear and exponential functions and hence, we named it ‘Linear-Exponential distribution’. Probability density function, probability distribution function and moment generating function of this distribution have been obtained. Moments about origin and hence, the first four central moments of the proposed distribution have been derived. The hazard rate function and the mean residual life function of the proposed distribution have been discussed, and show its flexibility over Lindley distribution. Estimation of parameters has been discussed by the method of moments as well as the method of maximum likelihood. Goodness of fit has been applied to different data-sets which were used by others and it has been observed that it gives better fit to the most of data-sets of same nature, having variance greater than the mean, than Lindley distribution.

Key concepts: Natural exponential family, Mathematics, Moment-generating function, Exponential family, Half-normal distribution, Distribution fitting, Laplace distribution, Log-Cauchy distribution

Related papers

Back to paper searchBrowse research topicsOriginal source
Linear-exponential distribution — Research Paper | ScholarLens