Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/1571
Title: Comparison of Stochastic and Random Models for Bacterial Resistance
Authors: Merdan, Mehmet
Bekiryazıcı, Zafer
Kesemen, Tülay
Khaniyev, Tahir
Keywords: stochastic differential equation
random differential equation
Milstein scheme
Euler-Maruyama scheme
antibiotic resistance
Publisher: Springer International Publishing Ag
Source: Merdan, M., Bekiryazici, Z., Kesemen, T., & Khaniyev, T. (2017). Comparison of stochastic and random models for bacterial resistance. Advances in Difference Equations, 2017(1), 133.
Abstract: In this study, a mathematical model of bacterial resistance considering the immune system response and antibiotic therapy is examined under random conditions. A random model consisting of random differential equations is obtained by using the existing deterministic model. Similarly, stochastic effect terms are added to the deterministic model to form a stochastic model consisting of stochastic differential equations. The results from the random and stochastic models are also compared with the results of the deterministic model to investigate the behavior of the model components under random conditions.
[Merdan, Mehmet] Gumushane Univ, Dept Math Engn, Gumushane, Turkey; [Bekiryazici, Zafer] Recep Tayyip Erdogan Univ, Dept Math, TR-53100 Rize, Turkey; [Kesemen, Tulay] Karadeniz Tech Univ, Dept Math, Trabzon, Turkey; [Khaniyev, Tahir] TOBB Univ Econ & Technol, Dept Ind Engn, Ankara, Turkey
URI: https://doi.org/10.1186/s13662-017-1191-5
https://hdl.handle.net/20.500.11851/1571
ISSN: 1687-1847
Appears in Collections:Endüstri Mühendisliği Bölümü / Department of Industrial Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

Show full item record



CORE Recommender

SCOPUSTM   
Citations

11
checked on Dec 21, 2024

WEB OF SCIENCETM
Citations

19
checked on Aug 31, 2024

Page view(s)

84
checked on Dec 23, 2024

Google ScholarTM

Check




Altmetric


Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.