Open Access
Subscription Access
The Generalized Odd Half-Logistic Family of Distributions with Regression Models
Abstract
We introduce a new class of continuous distributions called the generalized odd halflogistic-G family. Four special models of the new family are provided. Some of its mathematical properties including explicit expressions for the ordinary and incomplete moments, generating and quantile functions, Rényi and Shannon entropies are derived. Moreover, we introduce a new location-scale regression model based on the proposed distribution. The maximum likelihood method is used for estimating the model parameters. The flexibility of the generated family is illustrated by means of three applications on real data sets.
Keywords
Disclaimer/Regarding indexing issue:
We have provided the online access of all issues and papers to the indexing agencies (as given on journal web site). It’s depend on indexing agencies when, how and what manner they can index or not. Hence, we like to inform that on the basis of earlier indexing, we can’t predict the today or future indexing policy of third party (i.e. indexing agencies) as they have right to discontinue any journal at any time without prior information to the journal. So, please neither sends any question nor expects any answer from us on the behalf of third party i.e. indexing agencies.Hence, we will not issue any certificate or letter for indexing issue. Our role is just to provide the online access to them. So we do properly this and one can visit indexing agencies website to get the authentic information. Also: DOI is paid service which provided by a third party. We never mentioned that we go for this for our any journal. However, journal have no objection if author go directly for this paid DOI service.