A Review On Functional Data Analysis Approach and Its Fields of Use
Nihan Acar Denä°zlä° ()
Additional contact information
Nihan Acar Denä°zlä°: Mimar Sinan Fine Arts University, Istanbul
Eurasian Eononometrics, Statistics and Emprical Economics Journal, 2018, vol. 9, issue 9, 1-22
Abstract:
Due to the progress of modern science, recently it is more common to work on large data bases in many fields such as medicine, economy and environmental studies. The analysis of large and continous data sets require further developments of existing methods. Functional Data Analysis (FDA) is an extension of multivariate statistical analysis methods which concerns with the analysis of functional structure data. The aim of this study is to introduce the general framework and the development of FDA approach, to mention the recent studies particularly on functional dimension reduction and functional regression models with a wide literature review and to present a source for the future studies.
Date: 2018
References: Add references at CitEc
Citations:
Downloads: (external link)
https://eurasianacademy.org/index.php/econstat/article/view/957 (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eas:econst:v:9:y:2018:i:9:p:1-22
DOI: 10.17740/eas.stat.2018�V9�01
Access Statistics for this article
More articles in Eurasian Eononometrics, Statistics and Emprical Economics Journal from Eurasian Academy Of Sciences
Bibliographic data for series maintained by Kutluk Kagan Sumer ().