Add to ORKGThe method of least squares is used to come up with a regression trend equation of a nonlinear exponential model.A software is developed which can do the following:1. Graph the curve of a given set of data2. Graph the log curve of a given set of data3. Compute the regression coefficients of a regression trend equation4. Test the significance of the regression coefficient using T-test5. Estimate the value of a dependent variable Y in terms of a given independent variable X.The software is developed using TURBO PASCAL 5.5 and a Super VGA Monitor. This software should be run on a computer with a colored monitor for an efficient execution
This thesis presents a class of methods for solving nonlinear least squares problems. A comprehensiv...
This study aims to create a computer program designed to apply the principle of curve fitting using ...
The work covers the statistical experiments generated by the non-linear regression models. The iam i...
The method of least squares is used to come up with a regression trend equation of a nonlinear expon...
A computer-oriented technique is presented for performing a nonlinear exponential regression analysi...
Simple methods are presented for determining estimators to be used at the first stage of a nonlinear...
This thesis is concerned with the estimation of the nonlinear parameters in statistical models consi...
Two-parameter growth models of exponential type f (t;a,b) = g(t)exp(a+bh(t)), where a and b are unkn...
Least squares parameter estimation algorithms for nonlinear systems are investigated based on a nonl...
In this paper, we estimate the parameters of the exponential distribution by least trimmed squares (...
Seven computerprograms for non-linear regression or curve fitting problems are compared. The compari...
[[abstract]]For a time series generated by polynomial trend with stationary long-memory errors, the ...
A BASIC computer program for performing weighted nonlinear regression is described and a listing of ...
This thesis examines how to find the best fit to a series of data points when curve fitting using po...
AbstractThe paper uses empirical process techniques to study the asymptotics of the least-squares es...
This thesis presents a class of methods for solving nonlinear least squares problems. A comprehensiv...
This study aims to create a computer program designed to apply the principle of curve fitting using ...
The work covers the statistical experiments generated by the non-linear regression models. The iam i...
The method of least squares is used to come up with a regression trend equation of a nonlinear expon...
A computer-oriented technique is presented for performing a nonlinear exponential regression analysi...
Simple methods are presented for determining estimators to be used at the first stage of a nonlinear...
This thesis is concerned with the estimation of the nonlinear parameters in statistical models consi...
Two-parameter growth models of exponential type f (t;a,b) = g(t)exp(a+bh(t)), where a and b are unkn...
Least squares parameter estimation algorithms for nonlinear systems are investigated based on a nonl...
In this paper, we estimate the parameters of the exponential distribution by least trimmed squares (...
Seven computerprograms for non-linear regression or curve fitting problems are compared. The compari...
[[abstract]]For a time series generated by polynomial trend with stationary long-memory errors, the ...
A BASIC computer program for performing weighted nonlinear regression is described and a listing of ...
This thesis examines how to find the best fit to a series of data points when curve fitting using po...
AbstractThe paper uses empirical process techniques to study the asymptotics of the least-squares es...
This thesis presents a class of methods for solving nonlinear least squares problems. A comprehensiv...
This study aims to create a computer program designed to apply the principle of curve fitting using ...
The work covers the statistical experiments generated by the non-linear regression models. The iam i...