Generalized mixed δ-shock models with random interarrival times and magnitude of shocks

2021 ◽  
pp. 113832
Author(s):  
H. Lorvand ◽  
A.R. Nematollahi
Keyword(s):  
Shock Models ◽  
Interarrival Times

A new class of bivariate Lindley distributions based on stress and shock models and some of their reliability properties

2021 ◽  
pp. 107528
Author(s):  
Ricardo P. Oliveira ◽  
Jorge A. Achcar ◽  
Josmar Mazucheli ◽  
Wesley Bertoli
Keyword(s):  
New Class ◽  
Shock Models

scholarly journals sGCα1β1 attenuates cardiac dysfunction and mortality in murine inflammatory shock models

2009 ◽  
Vol 9 (S1) ◽  
Author(s):  
Emmanuel S Buys ◽  
Anje Cauwels ◽  
Michael J Raher ◽  
Jonathan J Passeri ◽  
Ion Hobai ◽  
...  
Keyword(s):  
Cardiac Dysfunction ◽  
Shock Models

On interarrival times in simple stochastic epidemic models

1982 ◽  
Vol 19 (4) ◽  
pp. 835-841
Author(s):  
Grace Yang ◽  
C. L. Chiang
Keyword(s):  
Probability Distributions ◽  
Asymptotic Distributions ◽  
Epidemic Models ◽  
Stochastic Epidemic Models ◽  
Stochastic Epidemic ◽  
Interarrival Times

The probability distributions of the size and the duration of simple stochastic epidemic models are well known. However, in most instances, the solutions are too complicated to be of practical use. In this note, interarrival times of the infectives are utilized to study asymptotic distributions of the duration of the epidemic for a class of simple epidemic models. A brief summary of the results on simple epidemic models in terms of interarrival times is included.

scholarly journals Shock models under a Markovian arrival process

2009 ◽  
Vol 50 (5-6) ◽  
pp. 879-884 ◽  
Author(s):  
Rafael Pérez-Ocón ◽  
Maria del Carmen Segovia
Keyword(s):  
Markovian Arrival Process ◽  
Arrival Process ◽  
Shock Models

An Uncertain Single-Server Queueing Model

2021 ◽  
pp. 2150001
Author(s):  
Kai Yao
Keyword(s):  
Queueing Theory ◽  
Busy Period ◽  
Queueing System ◽  
Single Server ◽  
Queueing Model ◽  
Uncertainty Distribution ◽  
Uncertain Variables ◽  
Service Efficiency ◽  
Service Times ◽  
Interarrival Times

In the queueing theory, the interarrival times between customers and the service times for customers are usually regarded as random variables. This paper considers human uncertainty in a queueing system, and proposes an uncertain queueing model in which the interarrival times and the service times are regarded as uncertain variables. The busyness index is derived analytically which indicates the service efficiency of a queueing system. Besides, the uncertainty distribution of the busy period is obtained.

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