Results 91 to 100 of about 28,068 (205)

A Class of Unbiased Estimators of the Average Treatment Effect in Randomized Experiments

Journal of Causal Inference, 2013
We derive a class of design-based estimators for the average treatment effect that are unbiased whenever the treatment assignment process is known. We generalize these estimators to include unbiased covariate adjustment using any model for outcomes that ...
Aronow Peter M., Middleton Joel A.
doaj   +1 more source

Reweighted Least Trimmed Squares: An Alternative to One-Step Estimators

A new class of robust regression estimators is proposed that forms an alternative to traditional robust one-step estimators and that achieves the √n rate of convergence irrespective of the initial estimator under a wide range of distributional ...
Cizek, P.
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On stratified ranked set sampling for the quest of an optimal class of estimators

Alexandria Engineering Journal
In the sample survey theory, the crux of survey practitioners is to provide “accurate” estimators of the parameter of choice. The conventional theory depends on the regression/difference estimators as they correspond to the best linear unbiased (BLU ...
Shashi Bhushan, Anoop Kumar, Eslam Hussam, Manahil SidAhmed Mustafa, Mohammed Zakarya, Wedad R. Alharbi   +5 more
doaj   +1 more source

Quantile regression methods for recursive structural equation models [PDF]

Two classes of quantile regression estimation methods for the recursive structural equation models of Chesher (2003) are investigated. A class of weighted average derivative estimators based directly on the identification strategy of Chesher is ...
Roger Koenker, Lingjie Ma
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Application on wide-ranging estimation of population proportion using auxiliary attributes

Alexandria Engineering Journal
Many fields require the development of different techniques and approaches to improve the precision and efficiency of population parameters estimation.
Badr Aloraini, Sohaib Ahmad, Ramadan A. ZeinEldin, Safar M. Alghamdi, Ibrahim Elbatal, H.E. Semary   +5 more
doaj   +1 more source

A New Class of Reduced-Bias Generalized Hill Estimators

Mathematics
The estimation of the extreme value index (EVI) is a crucial task in the field of statistics of extremes, as it provides valuable insights into the tail behavior of a distribution.
Lígia Henriques-Rodrigues, Frederico Caeiro, M. Ivette Gomes   +2 more
doaj   +1 more source

A Minimum Power Divergence Class of CDFs and Estimators for Binary Choice Models [PDF]

, 2008
The Cressie-Read (CR) family of power divergence measures is used to identify a new class of statistical models and estimators for competing explanations of the data in binary choice models. A large flexible class of cumulative distribution functions and
Mittelhammer, Ron C, Dr., Judge, George G.   +1 more
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Extreme Value Index Estimators and Smoothing Alternatives: A Critical Review

Extreme-value theory and corresponding analysis is an issue extensively applied in many different fields. The central point of this theory is the estimation of a parameter γ, known as the extreme-value index. In this paper we review several extreme-value
Panaretos, John, Tsourti, Zoi
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Generalized Class of Variance Estimators under Two-Phase Sampling for Partial Information Case

, 2019
This paper considers a class of generalized estimators for estimating the unknown population variance using two auxiliary variables when mean of one auxiliary variable may not be available.
Asghar, Amber; Virtual University of Pakistan and National College of Business Administration & Economics (NCBA&E), Hanif, Muhammad; National College of Business Administration & Economics (NCBA&E), Sanaullah, Aamir; COMSATS Institute of Information Technology Lahore   +2 more
core   +1 more source

Estimation under Multicollinearity: Application of Restricted Liu and Maximum Entropy Estimators to the Portland Cement Dataset

A high degree of multicollinearity among the explanatory variables severely impairs estimation of regression coefficients by the Ordinary Least Squares. Several methods have been suggested to ameliorate the deleterious effects of multicollinearity.
Mishra, SK
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