Practical Comparison of Results of Statistic Regression Analysis and Neural Network Regression Analysis
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F75081431%3A_____%2F16%3A00000874" target="_blank" >RIV/75081431:_____/16:00000874 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Practical Comparison of Results of Statistic Regression Analysis and Neural Network Regression Analysis
Original language description
There are many discussions and arguments about accuracy of the results of statistic regression analysis and neural network regression analysis among experts. Of course all of them look for the best method usable in practice. The objective of the contribution is to use a case study to answer the question which of the methods provides better results. As a case study are used time series of US Gross Domestic Product. It starts in 1966 and ends in 2014.
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
AH - Economics
OECD FORD branch
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Result continuities
Project
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Continuities
V - Vyzkumna aktivita podporovana z jinych verejnych zdroju
Others
Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Littera Scripta
ISSN
1805-9112
e-ISSN
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Volume of the periodical
Volume 9
Issue of the periodical within the volume
3
Country of publishing house
CZ - CZECH REPUBLIC
Number of pages
13
Pages from-to
156-168
UT code for WoS article
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EID of the result in the Scopus database
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