Browsing by Subject "Weibull distribution"
Now showing items 1-6 of 6
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Article
Bounds for the distance between the distributions of sums of absolutely continuous i.i.d. convex-ordered random variables with applications
(2009)Let X 1, X 2, ... and Y 1, Y 2,... be two sequences of absolutely continuous, independent and identically distributed (i.i.d.) random variables with equal means E(X i) = E(Y i), i = 1, 2,.... In this work we provide upper ...
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Article
Earthquake Forecasting Based on Multi-State System Methodology
(2016)This paper deals with earthquake long term predictions based on multi-state system methodology. As a reference we consider the South America case which was examined (Tsapanos, Bull Geol Soc Gr XXXIV/4:1611–1617, 2001) in ...
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Conference Object
On semi-markov modelling and inference for multi-state systems
(Institute of Electrical and Electronics Engineers Inc., 2016)In this work we focus on multi state systems that we model by means of semi-Markov processes. The sojourn times are seen to be independent not identically distributed random variables and assumed to belong to a general ...
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Conference Object
Semi-Markov modelling for multi-state systems
(Institute of Electrical and Electronics Engineers Inc., 2014)Markov processes are widely used in reliability engineering. In this work we focus on multi state systems (MSS) and apply the Semi-Markov methodology for parameter estimation. For this purpose the sojourn times are assumed ...
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Doctoral Thesis Open Access
Statistical inference for multi-state reliability systems
(Πανεπιστήμιο Κύπρου, Σχολή Θετικών και Εφαρμοσμένων Επιστημών / University of Cyprus, Faculty of Pure and Applied Sciences, 2017-01)Η παρούσα διατριβή θα επικεντρωθεί σε multi-state systems (MSS) τα οποία μοντελοποιούμε με τη βοήθεια των ημιμαρκοβιανών διαδικασιών. Για το λόγο αυτό, οι ημιμαρκοβιανές διαδικασίες είναι καταλληλότερες σε μελέτες αξιοπιστίας ...
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Conference Object
Statistical inference for multi-state systems: The weibull case
(2013)Markov processes are widely used for reliability analysis because the number of failures in arbitrary time intervals in many practical cases can be described as a Poisson process and the time up to the failure and repair ...