scholarly journals A Generalized Markov-Chain Modelling Approach to (1,λ)-ES Linear Optimization

2014 ◽  
pp. 902-911 ◽  
Author(s):  
Alexandre Chotard ◽  
Martin Holeňa
Keyword(s):  
Markov Chain ◽  
Linear Optimization ◽  
Markov Chain Modelling ◽  
Modelling Approach

scholarly journals Predicting Customer Churn and Retention Rates in Nigeria’s Mobile Telecommunication Industry Using Markov Chain Modelling

2015 ◽  
Vol 3 (1) ◽  
pp. 67-80 ◽  
Author(s):  
Sulaimon Olanrewaju Adebiyi ◽  
Emmanuel Olateju Oyatoye ◽  
Joseph Nnamdi Mojekwu
Keyword(s):  
Markov Chain ◽  
Retention Rate ◽  
Secondary Data ◽  
Developed Countries ◽  
Service Industries ◽  
Retention Rates ◽  
Telecommunication Industry ◽  
Mobile Telecommunication ◽  
Customer Churn ◽  
Markov Chain Modelling

AbstractThe telecommunication industry is one of the service industries that is most affected by the problem of subscribers’ churn. Although several techniques have been used to predict customer churn in developed countries, many of those studies used secondary data which are not readily available in Nigeria for researchers. This study investigates how Markov chains help in modelling and predicting the customer churn and retention rate in the Nigerian mobile telecommunication industry. The data generated through the survey were input in the Windows-based Quantitative System for Business (WinQSB) for analysis. The results reveal that in the study area MTN has the highest retention rate (86.11%), followed by GLO (70.51%), Airtel (67%), and Etisalat (67.5%). This result has implications for telecom firms’ strategies for competitive advantage in particular and survival in general.

Markov chain modelling of pitting corrosion in underground pipelines

2009 ◽  
Vol 51 (9) ◽  
pp. 2197-2207 ◽  
Author(s):  
F. Caleyo ◽  
J.C. Velázquez ◽  
A. Valor ◽  
J.M. Hallen
Keyword(s):  
Markov Chain ◽  
Pitting Corrosion ◽  
Underground Pipelines ◽  
Markov Chain Modelling

Markov chain modelling of bioassay toxicity procedures

1993 ◽  
Vol 12 (7) ◽  
pp. 661-674 ◽  
Author(s):  
George Hadjinicola ◽  
Larry Goldstein
Keyword(s):  
Markov Chain ◽  
Markov Chain Modelling

Markov chain modelling of reliability analysis and prediction under mixed mode loading

2015 ◽  
Vol 28 (2) ◽  
pp. 307-314 ◽  
Author(s):  
Salvinder Singh ◽  
Shahrum Abdullah ◽  
Nik Abdullah Nik Mohamed ◽  
Mohd Salmi Mohd Noorani
Keyword(s):  
Markov Chain ◽  
Reliability Analysis ◽  
Mixed Mode ◽  
Mixed Mode Loading ◽  
Markov Chain Modelling

scholarly journals Nonlinear Markov Chain Modelling of the Novel Coronavirus (Covid-19) Pandemic

2020 ◽  
Author(s):  
Muammer Catak ◽  
Necati Duran
Keyword(s):  
Markov Chain ◽  
Markov Chains ◽  
Markov Chain Model ◽  
Chain Model ◽  
The Novel ◽  
The World ◽  
The Usa ◽  
Novel Coronavirus ◽  
Almost All ◽  
Markov Chain Modelling

Almost all countries around the world are struggling against the novel coronavirus (Covid-19) pandemic. In this paper, a nonlinear Markov chains model is proposed in order to analyse and to understand the behaviour of the Covid-19 pandemic. The data from China was used to build up the presented model. Thereafter, the nonlinear Markov chain model is employed to estimate the daily new Covid-19 cases in some countries including Italy, Spain, France, UK, the USA, Germany, Turkey, and Kuwait. In addition, the correlation between the daily new Covid-19 cases and the daily number of deaths is examined.

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