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Stochastic sensitivity analysis of the variability of dynamics and transition to chaos in the business cycles model. / Bashkirtseva, Irina; Ryashko, Lev; Ryazanova, Tatyana.
In: Communications in Nonlinear Science and Numerical Simulation, Vol. 54, 01.01.2018, p. 1339-1351.

Research output: Contribution to journal › Article › peer-review

Harvard

Bashkirtseva, I, Ryashko, L & Ryazanova, T 2018, 'Stochastic sensitivity analysis of the variability of dynamics and transition to chaos in the business cycles model', Communications in Nonlinear Science and Numerical Simulation, vol. 54, pp. 1339-1351. https://doi.org/10.1016/j.cnsns.2017.05.030

APA

Bashkirtseva, I., Ryashko, L., & Ryazanova, T. (2018). Stochastic sensitivity analysis of the variability of dynamics and transition to chaos in the business cycles model. Communications in Nonlinear Science and Numerical Simulation, 54, 1339-1351. https://doi.org/10.1016/j.cnsns.2017.05.030

Vancouver

Bashkirtseva I, Ryashko L, Ryazanova T. Stochastic sensitivity analysis of the variability of dynamics and transition to chaos in the business cycles model. Communications in Nonlinear Science and Numerical Simulation. 2018 Jan 1;54:1339-1351. doi: 10.1016/j.cnsns.2017.05.030

Author

Bashkirtseva, Irina ; Ryashko, Lev ; Ryazanova, Tatyana. / Stochastic sensitivity analysis of the variability of dynamics and transition to chaos in the business cycles model. In: Communications in Nonlinear Science and Numerical Simulation. 2018 ; Vol. 54. pp. 1339-1351.

BibTeX

@article{a541a9a5e5774fa085f59a934dc54520,
title = "Stochastic sensitivity analysis of the variability of dynamics and transition to chaos in the business cycles model",
keywords = "Chaos, Kaldor model, Noise-induced transitions, Random oscillations, Stochastic sensitivity function, PERSISTENCE, SYSTEMS, NOISE",
author = "Irina Bashkirtseva and Lev Ryashko and Tatyana Ryazanova",
year = "2018",
month = jan,
day = "1",
doi = "10.1016/j.cnsns.2017.05.030",
language = "English",
volume = "54",
pages = "1339--1351",
journal = "Communications in Nonlinear Science and Numerical Simulation",
issn = "1007-5704",
publisher = "Elsevier BV",

}

RIS

TY - JOUR

T1 - Stochastic sensitivity analysis of the variability of dynamics and transition to chaos in the business cycles model

AU - Bashkirtseva, Irina

AU - Ryashko, Lev

AU - Ryazanova, Tatyana

PY - 2018/1/1

Y1 - 2018/1/1

KW - Chaos

KW - Kaldor model

KW - Noise-induced transitions

KW - Random oscillations

KW - Stochastic sensitivity function

KW - PERSISTENCE

KW - SYSTEMS

KW - NOISE

UR - http://www.scopus.com/inward/record.url?scp=85019991128&partnerID=8YFLogxK

UR - https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=tsmetrics&SrcApp=tsm_test&DestApp=WOS_CPL&DestLinkType=FullRecord&KeyUT=000405496000014

UR - https://elibrary.ru/item.asp?id=31034263

U2 - 10.1016/j.cnsns.2017.05.030

DO - 10.1016/j.cnsns.2017.05.030

M3 - Article

AN - SCOPUS:85019991128

VL - 54

SP - 1339

EP - 1351

JO - Communications in Nonlinear Science and Numerical Simulation

JF - Communications in Nonlinear Science and Numerical Simulation

SN - 1007-5704

ER -

ID: 1969882