Results 101 to 110 of about 28,068 (205)

Difference based Ridge and Liu type Estimators in Semiparametric Regression Models [PDF]

We consider a difference based ridge regression estimator and a Liu type estimator of the regression parameters in the partial linear semiparametric regression model, y = Xβ + f + ε.
Wolfgang Karl Härdle, Maria Osipenko, Esra Akdeniz Duran   +2 more
core  

A Class of Improved Parametrically Guided Nonparametric Regression Estimators

, 2012
In this article we define a class of estimators for a nonparametric regression model with the aim of reducing bias. The estimators in the class are obtained via a simple two-stage procedure. In the first stage, a potentially misspecified parametric model
Aman Ullah, Martins-Filho, Carlos; Mishra, Santosh; Ullah, Aman, Carlos Martins-Filho, http://orcid.org/0000-0003-2678-2525 Martins-Filho, Carlos, Santosh Mishra   +4 more
core   +1 more source

Symmetrically normalized instrumental-variable estimation using panel data [PDF]

, 1996
In this paper we discuss the estimation of panel data models with sequential moment restrictions using symmetrically normalized GMM estimators. These estimators are asymptotically equivalent to standard GMM but are invariant to normalization and tend to ...
Arrellano, Manuel, Alonso-Borrego, César   +1 more
core  

New Class of Estimators for Finite Population Mean Under Stratified Double Phase Sampling with Simulation and Real-Life Application

Mathematics
Sampling survey data can sometimes contain outlier observations. When the mean estimator becomes skewed due to the presence of extreme values in the sample, results can be biased. The tendency to remove outliers from sample data is common.
Abdulaziz S. Alghamdi, Hleil Alrweili
doaj   +1 more source

Class of Unbiased Integer GPS Ambiguity Estimators.

, 1998
This contribution introduces a class of integer ambiguity estimators which are unbiased. The condition for unbiasedness is formulated and it is shown that this condition is satisfied for three ambiguity estimators which are often used in GPS ambiguity ...
Teunissen, Peter
core  

A Homogeneous Class of Linear Estimators and Stronger Aitken Estimator [PDF]

We define a new class of linear estimators which includes as a subset all linear unbiased estimators. Subsequently, we establish Aitken estimator, the best linear unbiased estimator, further as the best in this larger class of linear estimators.
Marcellus Snow, Eric Iksoon Im
core  

Twofold Auxiliary Information Under Two-Phase Sampling: An Improved Family of Double-Transformed Variance Estimators

Axioms
Outlier values and rankings are important for emphasizing data distribution variability, which improves the accuracy and effectiveness of variance estimations.
Umer Daraz, Della Agustiana, Jinbiao Wu, Walid Emam   +3 more
doaj   +1 more source

On a Class of Nonparametric Density and Regression Estimators

The Annals of Statistics, 1984
A class of maximum penalized likelihood estimators (MPLE) of the density function f is constructed, through the use of a rather general roughness- penalty functional. This class contains all the density estimates in the literature that arise as solutions to MPLE problems with penalties on \(f^{1/2}.\) In addition, the flexibility of the penalty ...
openaire   +2 more sources

Econometric Computing with HC and HAC Covariance Matrix Estimators

Data described by econometric models typically contains autocorrelation and/or heteroskedasticity of unknown form and for inference in such models it is essential to use covariance matrix estimators that can consistently estimate the covariance of the ...
Achim Zeileis
core  

Modified and restricted r-k class estimators

, 2014
In this article, we introduce the modified r-k class estimator and the restricted r-k class estimator. We compare the performances of the new estimators to the r-k class estimator with respect to the matrix mean square error (MSE) criterion. As a special
Şiray G.U.
core   +1 more source