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Minimax Ridge Regression Estimation. [PDF]
The Annals of Statistics, 1977 The technique of ridge regression, first proposed by Hoerl and Kennard, has become a popular tool for data analysts faced with a high degree of multicollinearity in their data. By using a ridge estimator, one hopes to both stabilize one's estimates (lower the condition number of the design matrix) and improve upon the squared error loss of the least ...
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On Knots locations for Regression Spline Estimator [PDF]
المجلة العراقية للعلوم الاحصائية, 2013 Regression splines is one of the methods that are used to estimate the regression curve non parametrically. One of the most important elements that contribute to the application of the method is to determine the degree of the spline function and the ...
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Mathematics, 2023 For nonparametric regression estimation, conventional research all focus on isotropic regression function. In this paper, a linear wavelet estimator of anisotropic regression function is constructed, the rate of convergence of this estimator is discussed
Jia Chen, Junke Kou
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Regression Estimator Using Double Ranked Set Sampling
Sultan Qaboos University Journal for Science, 2002 The performance of a regression estimator based on the double ranked set sample (DRSS) scheme, introduced by Al-Saleh and Al-Kadiri (2000), is investigated when the mean of the auxiliary variable X is unknown.
Hani M. Samawi, Eman M. Tawalbeh
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HAC ESTIMATION BY AUTOMATED REGRESSION [PDF]
Econometric Theory, 2005 Summary: A simple regression approach to heteroskedastic and autocorrelation consistent (HAC) and long run variance (LRV) estimation is suggested. The method exploits the fact that the quantities of interest relate to only one point of the spectrum (the origin).
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Handling Nonresponse in Business Surveys
Survey Research Methods, 2012 Business surveys are a valuable indication of the current and the future economic situation. However refusals are very common in this context and may induce bias in the estimates of interest.
Riccardo Borgoni +2 more
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Improved Mixed Estimator Using Two Auxiliary Variables For Full Extreme Maximum And Minimum Values In Single Phase Sampling [PDF]
المجلة العراقية للعلوم الاحصائيةThe use of multiple auxiliary variables has been established to improve precision in the estimators of ratio, regression and product respectively. However, the presence of extreme values in the distribution could annul such efficiency Olatayo et al ...
Timothy O. Olatayo +2 more
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Partial AUC Estimation and Regression
Biometrics, 2003 Summary. Accurate diagnosis of disease is a critical part of health care. New diagnostic and screening tests must be evaluated based on their abilities to discriminate diseased from nondiseased states. The partial area under the receiver operating characteristic (ROC) curve is a measure of diagnostic test accuracy.
Dodd, Lori E., Pepe, Margaret S.
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Regression Estimator for the Tail Index [PDF]
Journal of Statistical Theory and Practice, 2020 AbstractEstimating the tail index parameter is one of the primal objectives in extreme value theory. For heavy-tailed distributions the Hill estimator is the most popular way to estimate this parameter. Several recent publications’ aim was to improve the Hill estimator, using different methods, for example the bootstrap, or the Kolmogorov–Smirnov ...
László Németh, András Zempléni
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المجلة العراقية للعلوم الاحصائيةThis research aims to demonstrate the high efficiency and accuracy in estimating the limited population mean through the estimates of the separate and combined stratified regression line based on the method of median ranked set sampling to choose a ...
Ayman M. AL-Hadidi, Rikan A. Ahmed
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