Results 251 to 260 of about 34,185 (288)
Some of the next articles are maybe not open access.
Statistics & Probability Letters, 2003
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire +1 more source
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire +1 more source
Communications in Statistics - Theory and Methods, 1984
It is found that multicollinearity among the independent variables in logistic regression inflates the variances of the maximum likelihood estimator. A Ridge type estimator is proposed that will have smaller total mean squared error than the maximum likelihood estimator under certain conditions.
R.L. Schaefer, L.D. Roi, R.A. Wolfe
openaire +1 more source
It is found that multicollinearity among the independent variables in logistic regression inflates the variances of the maximum likelihood estimator. A Ridge type estimator is proposed that will have smaller total mean squared error than the maximum likelihood estimator under certain conditions.
R.L. Schaefer, L.D. Roi, R.A. Wolfe
openaire +1 more source
A genetic algorithm for the estimation of ridges in fingerprints
IEEE Transactions on Image Processing, 1999A genetic algorithm is developed to find the ridges in paper fingerprints. It is based on the fact that the ridges of the fingerprints are parallel. When scanning the fingerprint, line by line, the ideal noise-free gray level distribution should yield lines of black and white. The widths of these lines are not constant.
Ahmed S. Abutaleb, Mohamed S. Kamel
openaire +2 more sources
Shrinkage Ridge Estimators in Linear Regression
Communications in Statistics - Simulation and Computation, 2013The problem of estimation of the regression coefficients in a multiple regression model (MRM) is considered under multicollinearity situation. Further it is suspected that the regression coefficients may be restricted to a subspace. In this approach, we present the estimators of the regression coefficients combining the idea of preliminary test ...
Mohammad Arashi +2 more
openaire +1 more source
A ‘conservative’ ridge estimator
Economics Letters, 1979Abstract In this paper an alternative to the Ordinary Ridge Estimator (ORE) introduced by Hoerl and Kennard (1970) is proposed. This estimator is called a ‘Conservative’ Ridge Estimator (CRE), because it puts a heavier weight on the unbiasedness and a smaller weight on the statistical stability of the ‘unstable’ estimation components than the ORE ...
openaire +1 more source
Unbiased ridge estimation with prior information and ridge trace
Communications in Statistics - Theory and Methods, 1995A procedure is illustrated to incorporate prior information in the ridge regression model. Unbiased ridge estimators with prior information are defined and a robust estimate of the ridge parameter k is proposed.
Robert H. Crouse +2 more
openaire +1 more source
A new biased estimator based on ridge estimation
Statistical Papers, 2006zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Sakallioglu S., Kaçiranlar S.
openaire +2 more sources
A Tobit Ridge Regression Estimator
Communications in Statistics - Theory and Methods, 2013This article analyzes the effects of multicollienarity on the maximum likelihood (ML) estimator for the Tobit regression model. Furthermore, a ridge regression (RR) estimator is proposed since the mean squared error (MSE) of ML becomes inflated when the regressors are collinear. To investigate the performance of the traditional ML and the RR approaches
G. Khalaf +3 more
openaire +1 more source
Ridge estimator with correlated errors and two-stage ridge estimator under inequality restrictions
Communications in Statistics - Theory and Methods, 2016AbstractLiew (1976a) introduced generalized inequality constrained least squares (GICLS) estimator and inequality constrained two-stage and three-stage least squares estimators by reducing primal–dual relation to problem of Dantzig and Cottle (1967), Cottle and Dantzig (1974) and solving with Lemke (1962) algorithm.
Toker S., Kaçıranlar S.
openaire +2 more sources
Communications in Statistics - Theory and Methods, 1998
Swindel (1976) introduced a modified ridge regression estimator based on prior information. Sarkar (1992) suggested a new estimator by combining in a particular way the two approaches followed in obtaining the restricted ieast squares and ordinary ndge regression estimators.
Kaçiranlar S. +2 more
openaire +2 more sources
Swindel (1976) introduced a modified ridge regression estimator based on prior information. Sarkar (1992) suggested a new estimator by combining in a particular way the two approaches followed in obtaining the restricted ieast squares and ordinary ndge regression estimators.
Kaçiranlar S. +2 more
openaire +2 more sources