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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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Estimating the Population Mean in Stratified Median ranked Set Sampling Using Combined and Separate Regression with the Presence of Outliers

المجلة العراقية للعلوم الاحصائية
This 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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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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Modified Ridge Estimator for Poisson Regression

Cumhuriyet Science Journal
Poisson regression is a statistical model used to model the relationship between a count-valued-dependent variable and one or more independent variables. A frequently encountered problem when modeling such relationships is multicollinearity, which occurs
Shuaib Mursal Ibrahim, Aydın Karakoca
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Robust weighted ridge regression based on S – estimator

African Scientific Reports, 2023
Ordinary least squares (OLS) estimator performance is seriously threatened by correlated regressors often called multicollinearity. Multicollinearity is a situation when there is strong relationship between any two exogenous variables.
Taiwo Stephen Fayose, Kayode Ayinde, Olatayo Olusegun Alabi, Abimbola Hamidu Bello   +3 more
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An Alternative Estimator for Poisson–Inverse-Gaussian Regression: The Modified Kibria–Lukman Estimator

Algorithms
Poisson regression is used to model count response variables. The method has a strict assumption that the mean and variance of the response variable are equal, while, in practice, the case of overdispersion is common.
Rasha A. Farghali, Adewale F. Lukman, Zakariya Algamal, Murat Genc, Hend Attia   +4 more
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Comparison of Some Estimators under the Pitman’s Closeness Criterion in Linear Regression Model

Journal of Applied Mathematics, 2014
Batah et al. (2009) combined the unbiased ridge estimator and principal components regression estimator and introduced the modified r-k class estimator.
Jibo Wu
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A New Instrumental-Type Estimator for Quantile Regression Models

Mathematics, 2023
This paper proposes a new instrumental-type estimator of quantile regression models for panel data with fixed effects. The estimator is built upon the minimum distance, which is defined as the weighted average of the conventional individual instrumental ...
Li Tao, Lingnan Tai, Manling Qian, Maozai Tian   +3 more
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Composite Estimators for the Population Mean Under Ranked Set Sampling

Mathematics
Ranked Set Sampling (RSS) is an effective sampling technique, particularly when precise measurement of the study variable is costly or time-consuming, but ranking the units is relatively easy.
Sayed A. Mostafa, Thomas Johnson, Sanford Jennings   +2 more
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Estimation of the finite population covariance using calibration

Nonlinear Analysis, 2010
Estimators of the finite population covariance with several systems of weights are considered. New calibrated estimators of the finite population covariance (variance) are derived, using two and three weighting systems that are defined by various ...
A. Plikusas, D. Pumputis
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