DOIAbstract
No Abstract. Global Journal of Mathematical Sciences Vol. 6 (2) 2007: pp. 115-11
No Abstract. Global Journal of Mathematical Sciences Vol. 6 (2) 2007: pp. 115-11
The problem of nonparametric estimation of the regression function f(x) = E(Y | X=x) using the ortho...
summary:Orthogonal regression, also known as the total least squares method, regression with errors-...
SIGLEAvailable from TIB Hannover: RN 2495(44) / FIZ - Fachinformationszzentrum Karlsruhe / TIB - Tec...
In this paper, the relationship between X, the structure matrix in a polynomial regression (PR) mode...
: The problem of n-dimensional orthogonal linear regression is a problem of finding an n-dimensional...
• Knowing how to implement polynomial regression • Knowing how to implement multiple linear regressi...
12 pages, 1 article*A Derivation of the Coefficients and Divisors for Sets of Orthogonal Comparisons...
A polynomial functional relationship with errors in both variables can be consistently estimated by ...
This thesis examines local polynomial regression. Local polynomial regression is one of non-parametr...
A new approach to polynomial regression is presented using the concepts of orders of magnitudes of p...
Ph.D.MathematicsUniversity of Michigan, Horace H. Rackham School of Graduate Studieshttp://deepblue....
AbstractThis paper is concentrated on the polynomial regression model, which is useful when there is...
Data-analytic approaches to regression problems, arising from many scientific disciplines are descri...
Orthogonal Polynomials contains an up-to-date survey of the general theory of orthogonal polynomials...
Calculating regression under shape constraints is a problem addressed by statisticians since long. T...
The problem of nonparametric estimation of the regression function f(x) = E(Y | X=x) using the ortho...
summary:Orthogonal regression, also known as the total least squares method, regression with errors-...
SIGLEAvailable from TIB Hannover: RN 2495(44) / FIZ - Fachinformationszzentrum Karlsruhe / TIB - Tec...
In this paper, the relationship between X, the structure matrix in a polynomial regression (PR) mode...
: The problem of n-dimensional orthogonal linear regression is a problem of finding an n-dimensional...
• Knowing how to implement polynomial regression • Knowing how to implement multiple linear regressi...
12 pages, 1 article*A Derivation of the Coefficients and Divisors for Sets of Orthogonal Comparisons...
A polynomial functional relationship with errors in both variables can be consistently estimated by ...
This thesis examines local polynomial regression. Local polynomial regression is one of non-parametr...
A new approach to polynomial regression is presented using the concepts of orders of magnitudes of p...
Ph.D.MathematicsUniversity of Michigan, Horace H. Rackham School of Graduate Studieshttp://deepblue....
AbstractThis paper is concentrated on the polynomial regression model, which is useful when there is...
Data-analytic approaches to regression problems, arising from many scientific disciplines are descri...
Orthogonal Polynomials contains an up-to-date survey of the general theory of orthogonal polynomials...
Calculating regression under shape constraints is a problem addressed by statisticians since long. T...
The problem of nonparametric estimation of the regression function f(x) = E(Y | X=x) using the ortho...
summary:Orthogonal regression, also known as the total least squares method, regression with errors-...
SIGLEAvailable from TIB Hannover: RN 2495(44) / FIZ - Fachinformationszzentrum Karlsruhe / TIB - Tec...
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