Results 71 to 80 of about 28,068 (205)

Mean estimation using an efficient class of estimators based on simple random sampling: Simulation and applications

Alexandria Engineering Journal
In this article, we offer simple random sampling (SRS) based efficient class of estimators of population mean Y¯ utilizing additional information. The expression of the mean square error of the proposed class of estimators is deduced up to first degree ...
Anoop Kumar, Asra Sayeed Siddiqui, Manahil SidAhmed Mustafa, Eslam Hussam, Hassan M. Aljohani, Fatimah A. Almulhim   +5 more
doaj   +1 more source

Invariance assumptions for class distribution estimation

CoRR, 2023
16 pages, presented at workshop Learning to Quantify: Methods and Applications (LQ 2023), Torino, September 18 ...
openaire   +2 more sources

Improved Direct Estimators for Small Areas

, 2006
Unbiased direct estimators for small area quantities are usually considered too variable to be of any practical use. In this paper we propose a class of model-based direct estimators for small area quantities that appears to overcome this objection, in ...
Chandra, Hukum, Chambers, Ray
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Efficient class of estimators for finite population mean using auxiliary attribute in stratified random sampling. [PDF]

Sci Rep, 2023
Singh HP, Gupta A, Tailor R.
europepmc   +1 more source

A New Class of Bayes Minimax Estimators of the Mean Matrix of a Matrix Variate Normal Distribution

Mathematics
Bayes minimax estimation is important because it provides a robust approach to statistical estimation that considers the worst-case scenario while incorporating prior knowledge.
Shokofeh Zinodiny, Saralees Nadarajah
doaj   +1 more source

Maximun entropy Leuven estimators and multicollinearity

Statistica, 2007
A novel class of estimators, called maximum entropy Leuven (MEL) estimators, is presented and its performance is illustrated by Monte Carlo experiments. These estimators are inspired by the theory of light.
Quirino Paris
doaj   +1 more source

Efficient class of estimators for estimation of population distribution function: Application on radiation and financial accounting data

Journal of Radiation Research and Applied Sciences
There is a common decrease in the efficiency of traditional estimators when the population characteristics vary or are skewed. To overcome this shortcoming, this paper proposes an effective class of estimators for estimating the population distribution ...
Diaa S. Metwally, Zahrah Fayez Althobaiti, Iman Babiker, Khadiga Wadi Nahar Tajer, Mona Elmahi, Bent Elmina Haroun Ali   +5 more
doaj   +1 more source

Estimation of population median using bivariate auxiliary information in simple random sampling

Heliyon
To estimate the unknown population median, several researchers have developed efficient estimators but these estimators are unable to provide efficient results in the existence of outliers.
Muhammad Ali Hussain, Maria Javed, Muhammad Zohaib, Sandile C. Shongwe, Muhammad Awais, Abdullah A. Zaagan, Muhammad Irfan   +6 more
doaj   +1 more source

On a Class of Bayesian Nonparametric Estimates: I. Density Estimates

The Annals of Statistics, 1984
The author classifies the posterior distribution of a random density given a sample in the nonparametric context. Let K be a nonnegative kernel on the product of Borel subsets \({\mathcal X}\times {\mathcal R}\). Let \(\Theta\) be the set of all distributions on \({\mathcal R}\) and let \({\mathcal P}_{\alpha}\) be a Dirichlet probability on \(\Theta\)
openaire   +2 more sources

A Class of Nonparametric Estimators for Bivariate Extreme Value Copulas [PDF]

, 2010
Extreme value copulas are the limiting copulas of component-wise maxima. A bivariate extreme value copulas can be represented by a convex function called Pickands dependence function.
Suzukawa, Akio
core