Results 211 to 220 of about 18,734 (258)
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Semi-Markov Model and Its Application
Biometrical Journal, 1987AbstractIn this paper, a numerical procedure based on the theory of semi‐Markov process is presented to study the prognosis of the cancer of cervix. Data is used to illustrate the predictive ability of the model.
exaly +2 more sources
Semi-markov modeling for cancer insurance
European Actuarial Journal, 2022zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Soetewey, Antoine +3 more
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Semi-Markov Disability Insurance Models
Communications in Statistics - Theory and Methods, 2013In this article, we present a stochastic model for disability insurance contracts. The model is based on a discrete time non homogeneous semi-Markov process (DTNHSMP) to which the backward recurrence time process is introduced. This permits a more exhaustive study of disability evolution and a more efficient approach to the duration problem. The use of
Guglielmo D'Amico +2 more
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A semi-markov model for clinical trials
Journal of Applied Probability, 1965This paper applies the theory of semi-Markov processes to the construction of a stochastic model for interpreting data obtained from clinical trials. The model characterizes the patient as being in one of a finite number of states at any given time with an arbitrary probability distribution to describe the length of stay in a state. Transitions between
Weiss, G. H., Zelen, M.
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A Semi-Markov Inventory Control Model
Cybernetics and Systems Analysis, 2016zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Knopov, P. S. +2 more
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Semi-Markov Modelling for Multi-state Systems
2014 Ninth International Conference on Availability, Reliability and Security, 2014zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Barbu, Vlad Stefan +5 more
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Advances in Applied Probability, 1973
In this paper a storage model is described in which fluctuations in the content are governed by a sequence of independent identically distributed (i.i.d.) random inputs and i.i.d. random releases. This sequence proceeds according to an underlying semi-Markov process.
Senturia, Jerome, Puri, Prem S.
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In this paper a storage model is described in which fluctuations in the content are governed by a sequence of independent identically distributed (i.i.d.) random inputs and i.i.d. random releases. This sequence proceeds according to an underlying semi-Markov process.
Senturia, Jerome, Puri, Prem S.
openaire +1 more source