Search Results - "Sakallioglu, Sadullah"

A new biased estimator based on ridge estimation by Sakalliolu, Sadullah, Kaçiranlar, Selahattin

“…In this paper we introduce a new biased estimator for the vector of parameters in a linear regression model and discuss its properties. We show that our new…”
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r − k Class estimator in the linear regression model with correlated errors by Üstündag Siray, Gülesen, Kaçiranlar, Selahattin, Sakalliolu, Sadullah

“…Autocorrelation in errors and multicollinearity among the regressors are serious problems in regression analysis. The aim of this paper is to examine…”
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More on the restricted ridge regression estimation by Kaçiranlar, Selahattin, Sakallioglu, Sadullah, Özkale, M Revan, Güler, Hüseyin

“…Several alternative methods for derivation of the restricted ridge regression estimator (RRRE) are provided. Theoretical comparison and relationship of RRRE…”
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COMBINING THE LIU ESTIMATOR AND THE PRINCIPAL COMPONENT REGRESSION ESTIMATOR by KACIRANLAR, Selahattin, SAKALLIOGLU, Sadullah

“…In this paper we introduce a class of estimators which includes the ordinary least squares (OLS), the principal components regression (PCR) and the Liu…”
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A new algorithm for initial cluster centers in k-means algorithm by Erisoglu, Murat, Calis, Nazif, Sakallioglu, Sadullah

“…► We proposed an algorithm to compute initial cluster centers for k-means algorithm. ► We choose two variables that best describe the variation in the dataset…”
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MEAN SQUARED ERROR COMPARISONS OF SOME BIASED REGRESSION ESTIMATORS by Sakallioğlu, Sadullah, Kaçiranlar, Selabattin, Akdeniz, Fikri

“…Gunst and Mason (1976) and Trenkler (1980) have compared several regression estimators with respect to the generalized mean squared error criterion. The…”
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Superiority of the r-k Class Estimator Over Some Estimators In A Linear Model by Şiray, Gülesen Üstündaǧ, Sakallıoǧlu, Sadullah

“…In regression analysis, to overcome the problem of multicollinearity, the r − k class estimator is proposed as an alternative to the ordinary least squares…”
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Effect of dimension reduction by principal component analysis on clustering by Erişoğlu, Murat, Erişoğlu, Ülkü, Sakallıoğlu, Sadullah

“…In this empirical study, our goal is to investigate the effectiveness of clustering high dimensional data using principle components (PCs) instead of original…”
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Mean squared error comparisons of the modified ridge regression estimator and the restricted ridge regression estimator by KACIRANLAR, S, SAKALLIOGLU, S, AKDENIZ, F

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A New Biased Estimator in Linear Regression and A Detailed Analysis of the Widely-Analysed Dataset on Portland Cement by Kaçiranlar, Selahatti̇n, Sakallioğlu, Sadullah, Akdeni̇z, Fi̇kri̇, Styan, George P. H., Werner, Hans Joachim

“…This paper deals with the standard multiple linear regression model$(y,X\beta,\sigma ^{2}I)$, where the model matrix X is assumed to be of full column rank. We…”
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