Buchumschlag

Interpretation and Forecasting Processes, Represented by Time Series, on the Basis of the Extended Logistic Mapping

Gespeichert in:

Bibliographische Detailangaben
Datum:	2013
Hauptverfasser:	V. V. Skalozub, I. V. Klimenko
Format:	Artikel
Sprache:	Englisch
Veröffentlicht:	2013
Schriftenreihe:	Business Inform
Online Zugang:	http://jnas.nbuv.gov.ua/article/UJRN-0000323361
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!
Назва журналу:	Library portal of National Academy of Sciences of Ukraine \| LibNAS

Institution

Library portal of National Academy of Sciences of Ukraine | LibNAS

Ähnliche Einträge

A linguistic approach to time series forecasting
von: D. V. Lande, et al.
Veröffentlicht: (2022)

A linguistic approach to time series forecasting
von: Ланде, Д. В., et al.
Veröffentlicht: (2022)

Analysis and forecasting of self-similar financial time series
von: Moklyachuk, M., et al.
Veröffentlicht: (2006)

Forecasting the Dynamics of Stockbreeding Development Using Time Series
von: A. B. Kulyk
Veröffentlicht: (2024)

A method of preliminary forecasting of time series of financial data
von: A. D. Shatashvili, et al.
Veröffentlicht: (2020)

Forecast of time series using their segmentation based on wavelet analysis of scalogram
von: Voloshko, A. V., et al.
Veröffentlicht: (2016)

Development of methods for restoring missing values and forecasting of mutually dependent time series
von: E. V. Bratus, et al.
Veröffentlicht: (2017)

Extrapolation forecasting on base of time series data with using of situational and inductive models
von: D. V. Stefanyshyn
Veröffentlicht: (2016)

Robustness of forecasting based on the small parameters autoregressive time series models
von: Ju. S. Kharin, et al.
Veröffentlicht: (2014)

Forecasting techniques based on the use of time series models for forecasting expenditures on social protection and social security
von: Zarudnyi, O., et al.
Veröffentlicht: (2024)

Forecasting techniques based on the use of time series models for forecasting expenditures on social protection and social security
von: O. Zarudnyi, et al.
Veröffentlicht: (2024)

Construction of Ensemble of Neural Network for Spacecraft Telemetry Multivariate Time Series Forecasting
von: E. E. Marushko, et al.
Veröffentlicht: (2016)

Use of time series models to forecast the evolution of corrosion pit in steel rebars
von: Xu Yidong
Veröffentlicht: (2016)

Simulating and Forecasting Periodic Behavior of a Discrete Time Series Using the Moving Average Method
von: O. V. Dmytrenko, et al.
Veröffentlicht: (2019)

Modeling and Forecasting Ukraine&#039;s Population by Time Series Using the Matlab Econometrics Toolbox
von: K. O. Kovalova, et al.
Veröffentlicht: (2019)

On the growth of analytic functions represented by the Dirichlet series on semistrips
von: Skaskiv, O. B., et al.
Veröffentlicht: (1993)

On behaviour of integral functions represented by the Dirichlet series on the real axis
von: Vinnitsky , В. V., et al.
Veröffentlicht: (2025)

Implementation of the reconstruction process for constructive-synthesizing models of fractal time series
von: Shynkarenko, V.I., et al.
Veröffentlicht: (2026)

On divergence of series of exponents representing functions regular in convex polygons
von: Mel'nik, Yu. I., et al.
Veröffentlicht: (1994)

On the growth of functions represented by Dirichlet series with complex coefficients on the real axis
von: Vynnyts’kyi, B. V., et al.
Veröffentlicht: (1997)

Modelling Non-stationary Time Series of Economic Dynamics on the Basis of Fokker – Planck Equations
von: O. O. Isaienko
Veröffentlicht: (2014)

Development of a Model of Knowledge Mining for Forecasting Financial Markets with Allocation of Standard Tendencies from the Time Series
von: O. K. Nykytenko
Veröffentlicht: (2014)

Analysis of self-similarity of multivariate time series (Ts) on the Basis of the Methods of Intellectual Analysis of the Data
von: Ju. N. Minaev, et al.
Veröffentlicht: (2017)

Mapping properties for convolution involving hypergeometric series
von: M. K. Aouf, et al.
Veröffentlicht: (2018)

Mapping properties for convolution involving hypergeometric series
von: Aouf, M. K., et al.
Veröffentlicht: (2018)

Decision support system for forecasting financial processes on the basis of system analysis principles
von: Ya. Danylov, et al.
Veröffentlicht: (2019)

Theoretical basis of logistic integrity of commodity markets
von: O. V. Nikishyna, et al.
Veröffentlicht: (2021)

Principles as a Basis for the Methodology of Logistics Management
von: M. I. Ivanova
Veröffentlicht: (2015)

An Interpretation of Femme Fatale Images Represented in the Short Stories by Paul Heyse
von: D. Melnyk
Veröffentlicht: (2015)

Modelling of online store&#039;s e-logistics processes with coloured combined (timed) Petri nets
von: V. I. Skitsko, et al.
Veröffentlicht: (2015)

Developing the Enhanced Telecom Operations Map Model on the Basis of Decomposition of Business Processes
von: V. A. Tiharieva
Veröffentlicht: (2016)

Estimate of time series similarity based on models
von: T. V. Knignitskaja
Veröffentlicht: (2019)

Improving the Management of International Supply Chains on the Basis of Logistics
von: V. O. Pysmak
Veröffentlicht: (2018)

Interpretation of the views of Theodore of Mopsuestia in the letter of representatives of the Armenian Church to Proclus, patriarch of Constantinople
von: V. Vodko
Veröffentlicht: (2017)

Selecting moving objects using time series
von: A. V. Aharkov
Veröffentlicht: (2016)

Methodical approach to forecasting of efficiency of activity of enterprises of the Poltava region on the basis of process management
von: S. V. Filina
Veröffentlicht: (2016)

On the rate of convergence of double series of exponents representing regular functions on products of convex polygons
von: Mel'nik, Yu. I., et al.
Veröffentlicht: (1994)

Coherent cross-spectral analysis of time series
von: I. M. Yavorskyi, et al.
Veröffentlicht: (2016)

Fool as an interpreter: Shakespeare and the present time
von: H. O. Pastushuk
Veröffentlicht: (2006)

Theoretical basis of mechanisms for the formation of efficient logistics of commodity markets
von: O. V. Nikishyna
Veröffentlicht: (2021)