Oedometer Consolidation Test Analysis by Nonlinear Regression

2008 ◽  
Vol 31 (1) ◽  
pp. 101007
Author(s):  
L. D. Suits ◽  
T. C. Sheahan ◽  
Pérsio L. A. Barros ◽  
Paulo R. O. Pinto
Keyword(s):  
Nonlinear Regression ◽  
Test Analysis ◽  
Consolidation Test

Using Particle Swarm Optimization (PSO) Algorithm in Nonlinear Regression Well Test Analysis and Its Comparison with Levenberg-Marquardt Algorithm

2016 ◽  
Vol 7 (3) ◽  
pp. 1-23 ◽  
Author(s):  
Meisam Adibifard ◽  
Gholamreza Bashiri ◽  
Emad Roayaei ◽  
Mohammad Ali Emad
Keyword(s):  
Nonlinear Regression ◽  
Heuristic Algorithms ◽  
Initial Point ◽  
Pso Algorithm ◽  
Well Test ◽  
Well Test Analysis ◽  
Test Analysis ◽  
Marquardt Algorithm ◽  
Levenberg Marquardt ◽  
The Cost

Since two of the most important disadvantages of the classical nonlinear regression methods, such as Levenberg-Marquardt (LM), are to calculate error derivative function and use an initial point to get the results, PSO algorithm, which lies in the category of population based meta-heuristic algorithms, is used in this study to implement nonlinear regression in well test analysis. Root Mean Square Error (RMSE) over pressure and pressure derivative data are used in the cost function formulation and the multi-objective problem is reduced to single objective one by including the weight for each of the cost functions related to pressure and pressured derivative data. The superiority of the procedure developed in this study is verified through a simulated drawdown test and one field case. Error comparison over estimated reservoir parameters and analysis of 95% confidence interval reveal that implemented PSO algorithm can be used accurately to estimate reservoir properties.

Nonlinear Regression

2011 ◽  
Author(s):  
Stephen J. Guastello
Keyword(s):  
Nonlinear Regression

FAKTOR-FAKTOR YANG MEMPENGARUHI KUALITAS AUDIT

2019 ◽  
Vol 5 (1) ◽  
pp. 50-63
Author(s):  
Heru Heryanto ◽  
Nur Laela ◽  
Riana R Dewi
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Audit Quality ◽  
Positive Influence ◽  
T Test ◽  
Coefficient Of Determination ◽  
Analysis Tool ◽  
Validity And Reliability ◽  
Test Analysis ◽  
Analysis Technique

This study aims to determine the significance of the influence of competence, independence, professionalism, auditor experience, accountability, and auditor's knowledge of audit quality. This study uses a questionnaire with a population and sample, namely all auditors who work at the Public Accounting Office (KAP) in the Special Region of Yogyakarta and Surakarta. Sampling techniques using Convenience Sampling with a sample of 61 respondents. The data used in this study is a questionnaire using a Likert scale 1 to 5. The data analysis technique used in this study is multiple linear regression using the SPSSprogram for Windows. The analysis tool in this study using validity and reliability, the classical assumption (normality test, multicollinearity, heteroscedasticity test and autocorrelation test) while the data were analyzed using multiple linear regression test, t test, F test and the coefficient of determination (R2).Based on the results of the t-test analysis performed, it shows that there is a positive influence of competence, independence, professionalism, auditor experience, accountability, and auditor's knowledge of audit quality and simultaneously competency, independence, professionalism, auditor experience, accountability, and auditor knowledge variables affect quality audit

Supported Punch Shear Behaviour of Polycarbonate: Test, Analysis and Numerical Simulation

2019 ◽  
Author(s):  
Yunfa Zhang ◽  
Qi Yang ◽  
Richard Desnoyers ◽  
Andrew Johnston
Keyword(s):  
Numerical Simulation ◽  
Shear Behaviour ◽  
Test Analysis
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