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  2. Volume 7, Issue 3
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Online ISSN: 2515-8260

Volume7, Issue3

An S-curve Model on the Maximum Predictive Pricing of Used Cars

    Fadzilah Salim Nur Azman Abu

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 3, Pages 907-921

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Abstract

A simple linear regression is commonly used as a practical predictive pricing model of used cars. The concept of maximum predictive pricing or efficient frontier model is a popular notion in capital asset pricing model. A non-linear model has been observed to provide a better estimate of price appreciation while describing real-life phenomena. The objective of this paper is to develop a new S-curve model on the maximum predictive pricing of used cars. A dynamic S-shaped Membership Function (SMF) was used as a base function to formulate a new S-curve maximum equation model. A comparison between linear regression, cubic regression, and S-curve model has been made prior to formulating a new S-curve maximum predictive pricing model. Validation of the new S-curve maximum predictive pricing model was done by curve-fitting the new equation into the required data set. This new S-curve model is expected to represent a better and practical model related to the price prediction of used cars and specifically, can offer a more realistic forecast of used car pricing in Malaysia.
Keywords:
    Maximum predictive pricing predictive model S-curve model used car price
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(2020). An S-curve Model on the Maximum Predictive Pricing of Used Cars. European Journal of Molecular & Clinical Medicine, 7(3), 907-921.
Fadzilah Salim; Nur Azman Abu. "An S-curve Model on the Maximum Predictive Pricing of Used Cars". European Journal of Molecular & Clinical Medicine, 7, 3, 2020, 907-921.
(2020). 'An S-curve Model on the Maximum Predictive Pricing of Used Cars', European Journal of Molecular & Clinical Medicine, 7(3), pp. 907-921.
An S-curve Model on the Maximum Predictive Pricing of Used Cars. European Journal of Molecular & Clinical Medicine, 2020; 7(3): 907-921.
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