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Special class of distorted premium principle based on an extension of the exponential-geometric distribution

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dc.contributor.author Chowdhury, Shovan
dc.contributor.author Nanda, Asok K
dc.date.accessioned 2016-05-25T05:29:00Z
dc.date.available 2016-05-25T05:29:00Z
dc.date.issued 2015-12
dc.identifier.uri http://hdl.handle.net/2259/674
dc.description 1 Associate Professor, Indian Institute of Management, Kozhikode, 2 Professor, Indian Institute of Science and Education Research, Kolkata. en_US
dc.description.abstract In this paper a new probability density function with both unbounded and bounded sup- port is presented. The new distribution, called modi ed exponential-geometric distribution arises from the exponential-geomeric distribution introduced by Adamidis and Loukas [1]. It presents a variety of shapes of density function and hazard rate function. The distribution with scale-transformed bounded support is considered as an alternative to the classical beta distribution and is shown to have an application in insurance. In particular, we suggest a special class of distorted premium principle based on this distribution and we compare it with the dual power premium principle. Moreover, the proposed distribution with un-bounded support is used as a lifetime model and is considered as an attractive alternativeto some existing models in the reliability literature. en_US
dc.language.iso en en_US
dc.publisher Indian Institute of Management Kozhikode en_US
dc.relation.ispartofseries ;IIMK/WPS/188/QM&OM/2015/024
dc.subject Maximum likelihood en_US
dc.subject Monte-Carlo simulation en_US
dc.subject Hazard rate function en_US
dc.subject Distortion function en_US
dc.title Special class of distorted premium principle based on an extension of the exponential-geometric distribution en_US
dc.type Working Paper en_US


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