An S-Curve Efficient Frontier For Evaluation Model

A normal distribution has been an ideal model in providing mental picture on a distribution of an object. A normal distribution projects a global view on a variation of an object which is expected to spread. This mental picture signifies an ideal view on statistic motion in the past three centuries....

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Main Author:	Salim, Fadzilah
Format:	Thesis
Language:	English English
Published:	2021
Subjects:	T Technology (General) TJ Mechanical engineering and machinery
Online Access:	http://eprints.utem.edu.my/id/eprint/25443/1/An%20S-Curve%20Efficient%20Frontier%20For%20Evaluation%20Model.pdf http://eprints.utem.edu.my/id/eprint/25443/2/An%20S-Curve%20Efficient%20Frontier%20For%20Evaluation%20Model.pdf
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id	my-utem-ep.25443
record_format	uketd_dc
institution	Universiti Teknikal Malaysia Melaka
collection	UTeM Repository
language	English English
advisor	Abu, Nor Azman
topic	T Technology (General) TJ Mechanical engineering and machinery
spellingShingle	T Technology (General) TJ Mechanical engineering and machinery Salim, Fadzilah An S-Curve Efficient Frontier For Evaluation Model
description	A normal distribution has been an ideal model in providing mental picture on a distribution of an object. A normal distribution projects a global view on a variation of an object which is expected to spread. This mental picture signifies an ideal view on statistic motion in the past three centuries. A simple linear regression has been a practical predictive model following a normal distribution along an independent variable. While a linear model provides a compact support at a central mean, a distribution of a predicted value on both ends of a simple linear regression widens as an independent variable moves further away from its central mean. A simple linear regression gives a good fit on average for an expected predicted value. This present research study is looking at feasible maximum output along an independent variable called an efficient frontier. At the same time, a simple linear regression gives a more accurate prediction near a central mean. This research study focuses on a particular attention on both far ends of an efficient frontier curve. A non-linear model is presumed to perform better than a linear model. Upon overcoming the challenge of producing a practical non-linear model, a new S-curve efficient frontier for evaluation model is proposed in this study for better and practical estimation on an optimal output. An efficient frontier denotes an optimal curve in a nonlinear model. This new S-curve efficient frontier reflects a non-linear model from a single independent variable to a prediction valuation that has a positive first derivative throughout its progression. This non-linear S-curve model is proposed as an ideal projection in a scientific valuation model. Two types of quantitative secondary data have been collected, namely second-hand car prices and market equity share prices, to test on this model generation and validation. An S-curve efficient frontier model gives a better forecast along dynamic progress on an efficient frontier projection from a simple linear regression. Hence, this novel non-linear S-curve efficient frontier predictive for evaluation model may serve as an ideal projection to many real scenarios within positive derivative progression. More importantly, this S-curve model prescribes an ideal view on a statistical motion for future endeavours. An S-curve efficient frontier for evaluation model will provide and add a dynamic mental picture in addition to a normal distribution.
format	Thesis
qualification_name	Doctor of Philosophy (PhD.)
qualification_level	Doctorate
author	Salim, Fadzilah
author_facet	Salim, Fadzilah
author_sort	Salim, Fadzilah
title	An S-Curve Efficient Frontier For Evaluation Model
title_short	An S-Curve Efficient Frontier For Evaluation Model
title_full	An S-Curve Efficient Frontier For Evaluation Model
title_fullStr	An S-Curve Efficient Frontier For Evaluation Model
title_full_unstemmed	An S-Curve Efficient Frontier For Evaluation Model
title_sort	s-curve efficient frontier for evaluation model
granting_institution	Universiti Teknikal Malaysia Melaka
granting_department	Faculty of Information and Communication Technology
publishDate	2021
url	http://eprints.utem.edu.my/id/eprint/25443/1/An%20S-Curve%20Efficient%20Frontier%20For%20Evaluation%20Model.pdf http://eprints.utem.edu.my/id/eprint/25443/2/An%20S-Curve%20Efficient%20Frontier%20For%20Evaluation%20Model.pdf
_version_	1747834129480679424
spelling	my-utem-ep.254432021-12-10T16:41:50Z An S-Curve Efficient Frontier For Evaluation Model 2021 Salim, Fadzilah T Technology (General) TJ Mechanical engineering and machinery A normal distribution has been an ideal model in providing mental picture on a distribution of an object. A normal distribution projects a global view on a variation of an object which is expected to spread. This mental picture signifies an ideal view on statistic motion in the past three centuries. A simple linear regression has been a practical predictive model following a normal distribution along an independent variable. While a linear model provides a compact support at a central mean, a distribution of a predicted value on both ends of a simple linear regression widens as an independent variable moves further away from its central mean. A simple linear regression gives a good fit on average for an expected predicted value. This present research study is looking at feasible maximum output along an independent variable called an efficient frontier. At the same time, a simple linear regression gives a more accurate prediction near a central mean. This research study focuses on a particular attention on both far ends of an efficient frontier curve. A non-linear model is presumed to perform better than a linear model. Upon overcoming the challenge of producing a practical non-linear model, a new S-curve efficient frontier for evaluation model is proposed in this study for better and practical estimation on an optimal output. An efficient frontier denotes an optimal curve in a nonlinear model. This new S-curve efficient frontier reflects a non-linear model from a single independent variable to a prediction valuation that has a positive first derivative throughout its progression. This non-linear S-curve model is proposed as an ideal projection in a scientific valuation model. Two types of quantitative secondary data have been collected, namely second-hand car prices and market equity share prices, to test on this model generation and validation. An S-curve efficient frontier model gives a better forecast along dynamic progress on an efficient frontier projection from a simple linear regression. Hence, this novel non-linear S-curve efficient frontier predictive for evaluation model may serve as an ideal projection to many real scenarios within positive derivative progression. More importantly, this S-curve model prescribes an ideal view on a statistical motion for future endeavours. An S-curve efficient frontier for evaluation model will provide and add a dynamic mental picture in addition to a normal distribution. 2021 Thesis http://eprints.utem.edu.my/id/eprint/25443/ http://eprints.utem.edu.my/id/eprint/25443/1/An%20S-Curve%20Efficient%20Frontier%20For%20Evaluation%20Model.pdf text en public http://eprints.utem.edu.my/id/eprint/25443/2/An%20S-Curve%20Efficient%20Frontier%20For%20Evaluation%20Model.pdf text en validuser https://plh.utem.edu.my/cgi-bin/koha/opac-detail.pl?biblionumber=119917 phd doctoral Universiti Teknikal Malaysia Melaka Faculty of Information and Communication Technology Abu, Nor Azman 1. Abd Manaf, Z., 2019. Strategic Management of Scholarly Journals. UTeM Scholarly Publishing Workshop. Universiti Teknikal Malaysia Melaka. December 6, 2019. 2. Abdul Karim, Z., 2013. Interest rates targeting of monetary policy: an open economy SVAR study of Malaysia. In: Prosiding Perkem VIII. pp.1059 1073. 3. 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