Forecasting Parameter Estimates: A Modeling Approach Using Exponential and Linear Regression

This paper supplies a calculation method for the parameter estimates of an exponential equation through SAS algorithm. The aim of this paper is to investigate the efficiency of the gained parameter estimates through the forecasting performance. The proposed calculation method can provide a very usef...

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Main Authors: W. M. A. W. Ahmad, R. A. A. Rohim, N. H. Ismail
Format: Article
Language:English
Published: D. G. Pylarinos 2018-08-01
Series:Engineering, Technology & Applied Science Research
Subjects:
Online Access:http://etasr.com/index.php/ETASR/article/view/2150
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spelling doaj-6eade89ac27846d2b366877519597ff42020-12-02T18:09:07ZengD. G. PylarinosEngineering, Technology & Applied Science Research2241-44871792-80362018-08-0184582Forecasting Parameter Estimates: A Modeling Approach Using Exponential and Linear RegressionW. M. A. W. Ahmad0R. A. A. Rohim1N. H. Ismail2School of Dental Sciences, Universiti Sains Malaysia, MalaysiaSchool of Dental Sciences, Universiti Sains Malaysia, MalaysiaSchool of Dental Sciences, Universiti Sains Malaysia, MalaysiaThis paper supplies a calculation method for the parameter estimates of an exponential equation through SAS algorithm. The aim of this paper is to investigate the efficiency of the gained parameter estimates through the forecasting performance. The proposed calculation method can provide a very useful technique to develop an exponential equation with better accuracy performance. This research paper illustrates a sample of the data obtained from the established study, which characterize the proliferative capacity of mesenchymal stem cells. This paper also provides the specific algorithm for the parameter estimates. http://etasr.com/index.php/ETASR/article/view/2150exponentialSAS algorithmparameter estimates
collection DOAJ
language English
format Article
sources DOAJ
author W. M. A. W. Ahmad
R. A. A. Rohim
N. H. Ismail
spellingShingle W. M. A. W. Ahmad
R. A. A. Rohim
N. H. Ismail
Forecasting Parameter Estimates: A Modeling Approach Using Exponential and Linear Regression
Engineering, Technology & Applied Science Research
exponential
SAS algorithm
parameter estimates
author_facet W. M. A. W. Ahmad
R. A. A. Rohim
N. H. Ismail
author_sort W. M. A. W. Ahmad
title Forecasting Parameter Estimates: A Modeling Approach Using Exponential and Linear Regression
title_short Forecasting Parameter Estimates: A Modeling Approach Using Exponential and Linear Regression
title_full Forecasting Parameter Estimates: A Modeling Approach Using Exponential and Linear Regression
title_fullStr Forecasting Parameter Estimates: A Modeling Approach Using Exponential and Linear Regression
title_full_unstemmed Forecasting Parameter Estimates: A Modeling Approach Using Exponential and Linear Regression
title_sort forecasting parameter estimates: a modeling approach using exponential and linear regression
publisher D. G. Pylarinos
series Engineering, Technology & Applied Science Research
issn 2241-4487
1792-8036
publishDate 2018-08-01
description This paper supplies a calculation method for the parameter estimates of an exponential equation through SAS algorithm. The aim of this paper is to investigate the efficiency of the gained parameter estimates through the forecasting performance. The proposed calculation method can provide a very useful technique to develop an exponential equation with better accuracy performance. This research paper illustrates a sample of the data obtained from the established study, which characterize the proliferative capacity of mesenchymal stem cells. This paper also provides the specific algorithm for the parameter estimates.
topic exponential
SAS algorithm
parameter estimates
url http://etasr.com/index.php/ETASR/article/view/2150
work_keys_str_mv AT wmawahmad forecastingparameterestimatesamodelingapproachusingexponentialandlinearregression
AT raarohim forecastingparameterestimatesamodelingapproachusingexponentialandlinearregression
AT nhismail forecastingparameterestimatesamodelingapproachusingexponentialandlinearregression
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