Work

Calibration Estimators with Different Types of Distance Measures Under Stratified Sampling in the Presence of Measurement Error

Year: 2024

Type: article

Abstract: The calibration method is used in stratified random sampling in the presence of measurement error to achieve optimum strata weights for better precision. In this study we attempt to analyze the behaviour of calibration estimators with different types of distance measures in the presence of measurement error for the estimation of population mean under stratified random sampling. The proposed estimators are compared with the estimators in the absence of measurement error. A simulation study has been carried out to evaluate the proposed estimators.

Source: Axioms

DOI: 10.3390/axioms13110737

Authors: Sat Gupta, Pidugu Trisandhya

Institutions: University of North Carolina at Greensboro, Bharati Vidyapeeth's College of Engineering, Delhi

Language: English

Topic: Survey Sampling and Estimation Techniques

Subfield: Statistics and Probability

Field: Mathematics

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $2,728

OpenAlex ID: W4403810841

FWCI: 0.658

Cites: 26

Cited by: 2

Related to: 10