Stochastic Process Research Papers

Stochastic Process Research Papers-34
Dear Colleagues, The aim of this Special Issue is to publish original research articles that cover recent advances in the theory and applications of stochastic processes. Once you are registered, click here to go to the submission form. Research articles, review articles as well as short communications are invited.The focus will especially be on applications of stochastic processes as models of dynamic phenomena in various research areas, such as biology, economics, medicine, queuing theory, reliability theory, and statistical physics. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Tags: Marketing Dissertation PdfA Compare-And-Contrast Essay Is One ThatCorporate Fraud EssaysCreative Writing ProgrammeApa Formatted EssayBoard Of Studies Creative Writing Belonging

Potential topics include, but are not limited to: • Markov processes• Markov renewal processes, semi-Markov processes• Markov chains• Large deviations and limit theorems• Random motions• Fractional processes• Stochastic biological models• Reliability, availability, maintenance, inspection• Queueing models• Queueing network models• Computational methods for stochastic models• Measures of information, entropy, stochastic orderings• Applications to risk theory, insurance and mathematical finance Prof. Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers).

All manuscripts are thoroughly refereed through a single-blind peer-review process.

A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page.

is an international peer-reviewed open access monthly journal published by MDPI.

The residual lifetime of the network is also assessed where the components fail based on a GCP.

The second part of the paper is concerned with three-state networks.Full article Starting from the definition of fractional M/M/1 queue given in the reference by Cahoy et al.in 2015 and M/M/1 queue with catastrophes given in the reference by Di Crescenzo et al.Finally, we provide various results on the dynamic differential entropy of the lifetime of the improved system. In this paper, we investigate the reliability and stochastic properties of an n-component network under the assumption that the components of the network fail according to a counting process called a geometric counting process (GCP). In the first part, we consider a two-state network (with states up and down) and we assume that its components are subjected to failure based on a GCP.Full article In this paper, we investigate the reliability and stochastic properties of an n-component network under the assumption that the components of the network fail according to a counting process called a geometric counting process (GCP). Some mixture representations for the network reliability are obtained in terms of signature of the network and the reliability function of the arrival times of the GCP.Characterization, structural properties and descriptive distributions of stochastic processes and stochastic systems, limit-theoretic behavior, robustness of models, and related topics are covered.The journal also publishes papers on stochastic processes dealing with allied questions of inference, optimization, control and reliability.Familiar examples of time series include stock market and exchange rate fluctuations, signals such as speech, audio and video; medical data such as a patient's EKG, EEG, blood pressure or temperature; and random movement such as Brownian motion or random walks.Examples of random fields include static images, random topographies (landscapes), or composition variations of an inhomogeneous material.Under these scenarios, we obtain several stochastic and dependency characteristics of the network lifetime.Some illustrative examples and plots are also provided throughout the article.

SHOW COMMENTS

Comments Stochastic Process Research Papers

The Latest from igmk.ru ©