TY - JOUR
T1 - Survival Models of Some Political Processes
AU - Esa, Sahib
AU - Dimitrov, Boyan N.
PY - 2013/9/1
Y1 - 2013/9/1
N2 - We extend the Probabilistic ideas from stochastic processes (queuing theory and reliability) on creation of some realistic models for studying several governing political formations, and find their survival characteristics. These models were presented at the Sixth and Seventh International Conferences on Mathematical Models in Reliability (Moscow 2009, and Beijing 2011). Our focus is on a “democracy” model, where the times of survival (existence at the political scene, duration of stay in leading coalition, governing survivability, life time distribution, longevity, etc.) can be derived from the model. Markovian models of spending time in certain sets of states are explored, and some discussion on statistical properties and evaluations are presented. We are confident that other political schemes also can be modeled using appropriate probabilistic tools.
AB - We extend the Probabilistic ideas from stochastic processes (queuing theory and reliability) on creation of some realistic models for studying several governing political formations, and find their survival characteristics. These models were presented at the Sixth and Seventh International Conferences on Mathematical Models in Reliability (Moscow 2009, and Beijing 2011). Our focus is on a “democracy” model, where the times of survival (existence at the political scene, duration of stay in leading coalition, governing survivability, life time distribution, longevity, etc.) can be derived from the model. Markovian models of spending time in certain sets of states are explored, and some discussion on statistical properties and evaluations are presented. We are confident that other political schemes also can be modeled using appropriate probabilistic tools.
UR - https://digitalcommons.kettering.edu/mathematics_facultypubs/41
UR - http://search.ebscohost.com/login.aspx?direct=truedb=a9hAN=90219925site=ehost-live
M3 - Article
VL - 8
JO - Reliability: Theory Applications (RTA)
JF - Reliability: Theory Applications (RTA)
ER -