Time Series Analysis and Data Relationships

Autor:	BICEN, Yunus, KAYIKCI, Mustafa, ARAS, Faruk
Rok vydání:	2015
Předmět:	Engineering Mühendislik Building and Construction Exponential smoothing forecasting methods time series statistics Electrical and Electronic Engineering
Zdroj:	Volume: 3, Issue: 225-230 Balkan Journal of Electrical and Computer Engineering
ISSN:	2147-284X
DOI:	10.17694/bajece.73127
Popis:	The time-series models which has an has an important place in the statistical forecasting methods are widely used in many disciplines such as economy, production management, and engineering in order to perform realistic estimates for the future. Produced results of these methods which are diversified in time, is variable for different data sets. A model that produces pretty good results for a dataset may not be realistic for the other dataset. The success of the time-series forecasting methods is directly related to the quantitative characteristic features of a dataset ranked through time. In this study, it is tried to identify the main principles for determining the correct method and suitably selecting the parameters within the framework of time-series forecasting models and quantitative characteristics of the data sets.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c71703a0d04b046520a420bbae11deeb https://doi.org/10.17694/bajece.73127 Zobrazit plný text záznamu