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AUEB Stats Seminars 26/11/2021: A new framework of semi-Markov processes for parameter estimation and Reliability Analysis by Andreas Makrides (University of the Aegean) Forumgrstats

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AUEB Stats Seminars 26/11/2021: A new framework of semi-Markov processes for parameter estimation and Reliability Analysis by Andreas Makrides (University of the Aegean) Forumgrstats
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AUEB Stats Seminars 26/11/2021: A new framework of semi-Markov processes for parameter estimation and Reliability Analysis by Andreas Makrides (University of the Aegean) Empty Re: AUEB Stats Seminars 26/11/2021: A new framework of semi-Markov processes for parameter estimation and Reliability Analysis by Andreas Makrides (University of the Aegean)

Thu 25 Nov 2021 - 15:16
To Video του Ερευνητικού σεμιναρίου του Τμήματος Στατιστικής της 26/11/2021 είναι τώρα διαθέσιμο στο youtube κανάλι του τμήματος Στατιστικής του ΟΠΑ εδώ https://youtu.be/KSUmrSlf8n0
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AUEB Stats Seminars 26/11/2021: A new framework of semi-Markov processes for parameter estimation and Reliability Analysis by Andreas Makrides (University of the Aegean) Empty AUEB Stats Seminars 26/11/2021: A new framework of semi-Markov processes for parameter estimation and Reliability Analysis by Andreas Makrides (University of the Aegean)

Wed 20 Oct 2021 - 18:19
AUEB Stats Seminars 26/11/2021: A new framework of semi-Markov processes for parameter estimation and Reliability Analysis by Andreas Makrides (University of the Aegean) 2122_a15

Presenter: Andreas Makrides
Lab of Statistics and Data Analysis (LabSTADA)
Department of Statistics and Actuarial-Financial Mathematics
University of the Aegean

Date: Friday 26/11/2021, 13:30

Title: A new framework of semi-Markov processes for parameter estimation and Reliability Analysis

Abstract: Semi-Markov processes are typical tools for modeling multi state systems by allowing several distributions for sojourn times. In this work, the sojourn times are considered to follow the Kumaraswamy distribution with two shape parameters which belongs to a general class of distributions with the advantage that is closed under minima. We provide estimators for the parameters of interest and we evaluate our methodology using an exhaustive simulation study.

Keywords: Multi-state system, Semi-Markov processes, Kumaraswamy distribution, Beta distribution, Reliability analysis, Parameter estimation.

Link:
https://teams.microsoft.com/l/meetup-join/19%3a0fe3bd7e094a4ccfacecb92ce36cfe69%40thread.tacv2/1631393069442?context=%7b%22Tid%22%3a%22ad5ba4a2-7857-4ea1-895e-b3d5207a174f%22%2c%22Oid%22%3a%22381c5dc1-ed77-403a-9d53-e2db51c33563%22%7d
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