Entropy Application for Forecasting (Record no. 74520)

MARC details
000 -LEADER
fixed length control field 02412naaaa2200313uu 4500
001 - CONTROL NUMBER
control field https://directory.doabooks.org/handle/20.500.12854/68883
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220220075603.0
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number books978-3-03936-488-6
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783039364879
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783039364886
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.3390/books978-3-03936-488-6
Terms of availability doi
041 0# - LANGUAGE CODE
Language code of text/sound track or separate title English
042 ## - AUTHENTICATION CODE
Authentication code dc
072 #7 - SUBJECT CATEGORY CODE
Subject category code K
Source bicssc
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Lopez-Menendez, Ana Jesus
Relationship edt
245 10 - TITLE STATEMENT
Title Entropy Application for Forecasting
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Basel, Switzerland
Name of publisher, distributor, etc. MDPI - Multidisciplinary Digital Publishing Institute
Date of publication, distribution, etc. 2020
300 ## - PHYSICAL DESCRIPTION
Extent 1 electronic resource (200 p.)
506 0# - RESTRICTIONS ON ACCESS NOTE
Terms governing access Open Access
Source of term star
Standardized terminology for access restriction Unrestricted online access
520 ## - SUMMARY, ETC.
Summary, etc. This book shows the potential of entropy and information theory in forecasting, including both theoretical developments and empirical applications. The contents cover a great diversity of topics, such as the aggregation and combination of individual forecasts, the comparison of forecasting performance, and the debate concerning the tradeoff between complexity and accuracy. Analyses of forecasting uncertainty, robustness, and inconsistency are also included, as are proposals for new forecasting approaches. The proposed methods encompass a variety of time series techniques (e.g., ARIMA, VAR, state space models) as well as econometric methods and machine learning algorithms. The empirical contents include both simulated experiments and real-world applications focusing on GDP, M4-Competition series, confidence and industrial trend surveys, and stock exchange composite indices, among others. In summary, this collection provides an engaging insight into entropy applications for forecasting, offering an interesting overview of the current situation and suggesting possibilities for further research in this field.
540 ## - TERMS GOVERNING USE AND REPRODUCTION NOTE
Terms governing use and reproduction Creative Commons
Use and reproduction rights https://creativecommons.org/licenses/by/4.0/
Source of term cc
-- https://creativecommons.org/licenses/by/4.0/
546 ## - LANGUAGE NOTE
Language note English
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Economics, finance, business & management
Source of heading or term bicssc
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Pérez-Suárez, Rigoberto
Relationship edt
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Lopez-Menendez, Ana Jesus
Relationship oth
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Pérez-Suárez, Rigoberto
Relationship oth
856 40 - ELECTRONIC LOCATION AND ACCESS
Host name www.oapen.org
Uniform Resource Identifier <a href="https://mdpi.com/books/pdfview/book/2650">https://mdpi.com/books/pdfview/book/2650</a>
Access status 0
Public note DOAB: download the publication
856 40 - ELECTRONIC LOCATION AND ACCESS
Host name www.oapen.org
Uniform Resource Identifier <a href="https://directory.doabooks.org/handle/20.500.12854/68883">https://directory.doabooks.org/handle/20.500.12854/68883</a>
Access status 0
Public note DOAB: description of the publication

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