A new class of lifetime distributions

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Date

2016

Journal Title

Journal ISSN

Volume Title

Publisher

Elsevier Science Bv

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Organizational Units

Organizational Unit
Industrial Engineering
(1998)
Industrial Engineering is a field of engineering that develops and applies methods and techniques to design, implement, develop and improve systems comprising of humans, materials, machines, energy and funding. Our department was founded in 1998, and since then, has graduated hundreds of individuals who may compete nationally and internationally into professional life. Accredited by MÜDEK in 2014, our student-centered education continues. In addition to acquiring the knowledge necessary for every Industrial engineer, our students are able to gain professional experience in their desired fields of expertise with a wide array of elective courses, such as E-commerce and ERP, Reliability, Tabulation, or Industrial Engineering Applications in the Energy Sector. With dissertation projects fictionalized on solving real problems at real companies, our students gain experience in the sector, and a wide network of contacts. Our education is supported with ERASMUS programs. With the scientific studies of our competent academic staff published in internationally-renowned magazines, our department ranks with the bests among other universities. IESC, one of the most active student networks at our university, continues to organize extensive, and productive events every year.

Journal Issue

Abstract

In this paper, a new class of lifetime distributions which is obtained by compounding arbitrary continuous lifetime distribution and discrete phase-type distribution is introduced. In particular, the class of exponential-phase type distributions is studied with some details. (C) 2016 Elsevier B.V. All rights reserved.

Description

Eryilmaz, Serkan/0000-0002-2108-1781

Keywords

Maximum likelihood estimation, Mixed distribution, Phase-type distributions, Geometric distribution of order k

Turkish CoHE Thesis Center URL

Citation

5

WoS Q

Q4

Scopus Q

Source

Volume

112

Issue

Start Page

63

End Page

71

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