Bozbulut, Ali Rıza

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Profile URL
https://hdl.handle.net/20.500.14411/7685
Name Variants
A.,Bozbulut
B.,Ali Riza
Bozbulut,A.R.
B.,Ali Rıza
B., Ali Riza
A., Bozbulut
Ali Rıza, Bozbulut
Ali Riza, Bozbulut
Bozbulut, Ali Rıza
Bozbulut, Ali Riza
A.R.Bozbulut
Job Title
Doktor Öğretim Üyesi
Email Address
ali.bozbulut@atilim.edu.tr
Main Affiliation
Industrial Engineering
Status
Former Staff
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WoS Researcher ID

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Scholarly Output

5

Articles

5

Views / Downloads

20/0

Supervised MSc Theses

0

Supervised PhD Theses

0

WoS Citation Count

122

Scopus Citation Count

137

Patents

0

Projects

0

WoS Citations per Publication

24.40

Scopus Citations per Publication

27.40

Open Access Source

1

Supervised Theses

0

JournalCount
Communications in Statistics - Simulation and Computation1
Computers & Industrial Engineering1
Dependence Modeling1
Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability1
Reliability Engineering & System Safety1
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2018 - 20192
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Author: Bozbulut, Ali RizaSubject: Dependence

Scholarly Output Search Results

Now showing 1 - 2 of 2
  • Thumbnail Image
    Article
    Citation - WoS: 7
    Citation - Scopus: 7
    A Generalized Class of Correlated Run Shock Models
    (de Gruyter Poland Sp Zoo, 2018) Yalcin, Femin; Eryilmaz, Serkan; Bozbulut, Ali Riza
    In this paper, a generalized class of run shock models associated with a bivariate sequence {(X-i, Y-i)}(i >= 1) of correlated random variables is defined and studied. For a system that is subject to shocks of random magnitudes X-1, X-2, ... over time, let the random variables Y-1, Y-2, ... denote times between arrivals of successive shocks. The lifetime of the system under this class is defined through a compound random variable T = Sigma(N)(t=1) Y-t, where N is a stopping time for the sequence {Xi}(i >= 1) and represents the number of shocks that causes failure of the system. Another random variable of interest is the maximum shock size up to N, i.e. M = max {X-i, 1 <= i <= N}Distributions of T and M are investigated when N has a phase-type distribution.
  • Thumbnail Image
    Article
    Citation - WoS: 22
    Citation - Scopus: 24
    Reliability Analysis of Weighted-K System Consisting of Three-State Components
    (Sage Publications Ltd, 2019) Eryilmaz, Serkan; Bozbulut, Ali Riza
    The reliability of a weighted-k-out-of-n system that consists of three-state components is studied. The system is assumed to comprise n three-state components, namely, perfect functioning, partial working, and complete failure and functions if the total weight of all the working components is at least k. Reliability expressions are presented when the times spent by components in perfect functioning and partial working states are dependent with a given joint distribution. Sufficient conditions are also provided to compare the expected total weights of two systems.