Search Results - "Kaçıranlar, Selahattin"

Admissible linear estimators in the general Gauss–Markov model under generalized extended balanced loss function by Mirezi, Buatikan, Kaçıranlar, Selahattin

“…This paper proposes a new generalized extended balanced loss function (GEBLF). Admissibility of linear estimators is characterized in the General Gauss–Markov…”
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On the performance of the poisson and the negative binomial ridge predictors by Kaçıranlar, Selahattin, Dawoud, Issam

“…Mansson and Shukur ( 2011 ) investigated the performance of the Poisson ridge regression (PRR) estimator in terms of the mean square error (MSE) criterion…”
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A minimum matrix valued risk estimator combining restricted and ordinary least squares estimators by Mirezi, Buatikan, Kaçıranlar, Selahattin, Özbay, Nimet

“…In this article, attention is focused on the convex combination estimator, We have proved that the matrix valued risk of the new convex matrix estimator cannot…”
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Improved two-parameter estimators for the negative binomial and Poisson regression models by Kandemir Çetinkaya, Merve, Kaçıranlar, Selahattin

“…Negative binomial regression (NBR) and Poisson regression (PR) applications have become very popular in the analysis of count data in recent years. However, if…”
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On the performance of two parameter ridge estimator under the mean square error criterion by Toker, Selma, Kaçıranlar, Selahattin

“…Lipovetsky and Conklin [12] proposed an estimator, two parameter ridge (ridge-2) estimator, as an alternative to the ordinary least squares (OLS) and the…”
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Risk performance of some shrinkage estimators by Özbay, Nimet, Kaçıranlar, Selahattin

“…Shrinkage estimators incorporating homogeneous and heterogeneous minimum mean square error estimators have a great deal of usage in the literature by means of…”
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Comparison of Liu and two parameter principal component estimator to combat multicollinearity by Kaçıranlar, Selahattin, Özbay, Nimet, Özkan, Ecem, Güler, Hüseyin

“…Biased estimation methods like ridge regression, Liu‐type regression, two‐parameter regression and principal component regression have become very popular in…”
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Estimation in a linear regression model with stochastic linear restrictions: a new two-parameter-weighted mixed estimator by Özbay, Nimet, Kaçıranlar, Selahattin

“…The present paper considers the weighted mixed regression estimation of the coefficient vector in a linear regression model with stochastic linear restrictions…”
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Optimal determination of the parameters of some biased estimators using genetic algorithm by Tekeli, Erkut, Kaçıranlar, Selahattin, Özbay, Nimet

“…In this paper, some new algorithms for estimating the biasing parameters of the ridge, Liu and two-parameter estimators are introduced with the help of genetic…”
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Developed first-order approximated estimators for the gamma distributed response variable by Kandemir Çetinkaya, Merve, Kaçıranlar, Selahattin, Kurtoğlu, Fikriye

“…Generalized linear models (GLM) applications have become very popular in recent years. However, if there is a high degree of relationship between the…”
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The Almon two parameter estimator for the distributed lag models by Oezbay, Nimet, Kaciranlar, Selahattin

“…The two parameter estimator proposed by Özkale and Kaçıranlar [The restricted and unrestricted two parameter estimators. Comm Statist Theory Methods…”
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Evaluation of the predictive performance of the r-k and r-d class estimators by Dawoud, Issam, Kaçıranlar, Selahattin

“…Multiple linear regression models are frequently used in predicting unknown values of the response variable y. In this case, a regression model's ability to…”
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Two-stage Liu estimator in a simultaneous equations model by Toker, Selma, Kaçıranlar, Selahattin, Güler, Hüseyin

“…Two-stage least squares estimation in a simultaneous equations model has several desirable properties under the problem of multicollinearity. So, various kinds…”
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An optimal k of kth MA-ARIMA models under AR(p) models by Dawoud, Issam, Kaçıranlar, Selahattin

“…In this article, we discuss finding the optimal k of (i) kth simple moving average, (ii) kth weighted moving average, and (iii) kth exponential weighted moving…”
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Ridge estimator with correlated errors and two-stage ridge estimator under inequality restrictions by Toker, Selma, Kaçıranlar, Selahattin

“…Liew ( 1976a ) introduced generalized inequality constrained least squares (GICLS) estimator and inequality constrained two-stage and three-stage least squares…”
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Improvement of the Liu‐type Shiller estimator for distributed lag models by Ozbay, Nimet, Kaciranlar, Selahattin

“…The problem of multicollinearity produces undesirable effects on ordinary least squares (OLS), Almon and Shiller estimators for distributed lag models…”
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The performance of the adaptive optimal estimator under the extended balanced loss function by Özbay, Nimet, Kaçıranlar, Selahattin

“…The adaptive optimal estimator of Farebrother (1975) is discussed by many authors, but the goodness of fitted model criterion that is used to investigate the…”
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Robust two parameter ridge M-estimator for linear regression by Ertaş, Hasan, Toker, Selma, Kaçıranlar, Selahattin

“…The problem of multicollinearity and outliers in the data set produce undesirable effects on the ordinary least squares estimator. Therefore, robust two…”
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Robust Liu-type estimator for regression based on M-estimator by Ertaş, Hasan, Kaçıranlar, Selahattin, Güler, Hüseyin

“…The problem of multicollinearity and outliers in the dataset can strongly distort ordinary least-square estimates and lead to unreliable results. We propose a…”
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The feasible generalized restricted ridge regression estimator by Özbay, Nimet, Kaçıranlar, Selahattin, Dawoud, Issam

“…The presence of autocorrelation in errors and multicollinearity among the regressors have undesirable effects on the least-squares regression. There are a wide…”
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