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  • Statistics In Transition

 

Research Article | 13-June-2021

Developing calibration estimators for population mean using robust measures of dispersion under stratified random sampling

Ahmed Audu, Rajesh Singh, Supriya Khare

Statistics in Transition New Series, Volume 22 , ISSUE 2, 125–142

Research paper | 31-October-2017

AN APPROXIMATION TO THE OPTIMAL SUBSAMPLE ALLOCATION FOR SMALL AREAS

This paper develops allocation methods for stratified sample surveys in which small area estimation is a priority. We assume stratified sampling with small areas as the strata. Similar to Longford (2006), we seek efficient allocation that minimizes a linear combination of the mean squared errors of composite small area estimators and of an estimator of the overall mean. Unlike Longford, we define mean-squared error in a model-assisted framework, allowing a more natural interpretation of results

W. B. Molefe, D. K. Shangodoyin, R. G. Clark

Statistics in Transition New Series, Volume 16 , ISSUE 2, 163–182

Article | 24-June-2021

ROBUST SIMULATION METHOD OF COMPLEX TECHNICAL TRANSPORT SYSTEMS

. An example of the application of the developed method was presented as a result of an experiment conducted for decision making and control processes aimed at optimizing the process of operating overhead cranes in critical conditions. In this paper, selecting parallel batch jobs computation and stratified sampling, we exponentially decreased the simulation time, finding fast and practical solutions and eliminating the time constraint in the search of solutions.

Janusz SZPYTKO, Yorlandys SALGADO DUARTE

Transport Problems, Volume 16 , ISSUE 2, 101–112

Article | 05-September-2021

A calibrated synthetic estimator for small area estimation

Synthetic estimators are known to produce estimates of population mean in areas where no sampled data are available, but such estimates are usually highly biased with invalid confidence statements. This paper presents a calibrated synthetic estimator of the population mean which addresses these problematic issues. Two known special cases of this estimator were obtained in the form of combined ratio and combined regression synthetic estimators, using selected tuning parameters under stratified

Matthew Joshua Iseh, Ekaette Inyang Enang

Statistics in Transition New Series, Volume 22 , ISSUE 3, 15–30

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