Cover Image

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

Saved in:

Bibliographic Details
Date:	2013
Main Authors:	V. V. Skalozub, I. V. Klimenko
Format:	Article
Language:	English
Published:	2013
Series:	Business Inform
Online Access:	http://jnas.nbuv.gov.ua/article/UJRN-0000323361
Tags:	Add Tag No Tags, Be the first to tag this record!
Journal Title:	Library portal of National Academy of Sciences of Ukraine \| LibNAS

Institution

Library portal of National Academy of Sciences of Ukraine | LibNAS

Similar Items

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Selecting moving objects using time series
by: A. V. Aharkov
Published: (2016)

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

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

Formation of random vibrations on the basis of compatibility of generalized Fourier series and Kotelnikov series
by: Божко, A. Е., et al.
Published: (2016)

Formation of random vibrations on the basis of compatibility of generalized Fourier series and Kotelnikov series
by: Божко, A. Е., et al.
Published: (2016)

Formation of random vibrations on the basis of compatibility of generalized Fourier series and Kotelnikov series
by: A. E. Bozhko, et al.
Published: (2011)

Algorithm flars and recognition of time series anomalies
by: Gvishiani, A.D., et al.
Published: (2004)

Partially Observed Discrete-valued Time Series
by: Lakhdar Aggoun, et al.
Published: (2007)

On the finiteness of the l-R-index of entire functions represented by series in а system of functions
by: M. Sheremeta
Published: (2024)

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

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

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

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

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

Fuzzy set features of one-dimensional time series
by: Ju. N. Minaev, et al.
Published: (2016)

Analysis of time series by the example of registration of variations in the gravitational field
by: Burtiev, R.Z., et al.
Published: (2021)

Testing k-value in k-fold cross validation of forecasting models for time series analysis of G-spreads of top-quality RUB bonds
by: E. Latysh, et al.
Published: (2012)

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

Combined Autoregressive-Neural Network Method for Predicting Time Series
by: G. A. Kravtsov, et al.
Published: (2020)

Analysis of time series by the example of registration of variations in the gravitational field
by: R. Z. Burtiev, et al.
Published: (2021)