A Functional Data Analysis approach to understand patterns imbedded within various data types

Title: A Functional Data Analysis approach to understand patterns imbedded within various data types
Creator: Mangisa, Siphumlile
Subject: Gqeberha (South Africa)
Subject: Eastern Cape (South Africa)
Subject: Data mining
Date Issued: 2021-04
Date: 2021-04
Type: Doctoral theses
Type: text
Identifier: http://hdl.handle.net/10948/52091
Identifier: vital:43426
Description: The thesis investigates the use of the novel Functional Data Analysis (FDA) methods in tackling various data types. Strong motivation is provided for the use of interesting opportunities offered by FDA to analyse not only economic data, but generally, data from any domain. The use of these methods is illustrated using three unique self-contained case-studies from econometrics.
Description: Thesis (PhD) -- Faculty of Science, School of Computer Science, Mathematics, Physics and Statistics, 2021
Format: computer
Format: online resource
Format: application/pdf
Format: 1 online resource (xiv, 129 pages)
Format: pdf
Publisher: Nelson Mandela University
Publisher: Faculty of Science
Language: English
Rights: Nelson Mandela University
Rights: All Rights Reserved
Rights: Open Access

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NMU School of Computer Science, Mathematics, Physics and Statistics

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