دورية أكاديمية

Adjusted variance estimators based on minimizing mean squared error for stratified random samples

التفاصيل البيبلوغرافية
العنوان: Adjusted variance estimators based on minimizing mean squared error for stratified random samples
المؤلفون: Guoyi Zhang, Bruce Swan
المصدر: Statistical Theory and Related Fields, Vol 8, Iss 2, Pp 117-123 (2024)
بيانات النشر: Taylor & Francis Group, 2024.
سنة النشر: 2024
المجموعة: LCC:Probabilities. Mathematical statistics
مصطلحات موضوعية: Biased variance estimator, mean squared error, simulations, stratified random sampling, survey data, Probabilities. Mathematical statistics, QA273-280
الوصف: In the realm of survey data analysis, encountering substantial variance relative to bias is a common occurrence. In this study, we present an innovative strategy to tackle this issue by introducing slightly biased variance estimators. These estimators incorporate a constant c within the range of 0 to 1, which is determined through the minimization of Mean Squared Error (MSE) for [Formula: see text]. This research builds upon the foundation laid by Kourouklis (2012, A new estimator of the variance based on minimizing mean squared error. The American Statistician, 66(4), 234–236) and extends their work into the domain of survey sampling. Extensive simulation studies are conducted to illustrate the superior performance of the adjusted variance estimators when compared to standard variance estimators, particularly in terms of MSE. These findings underscore the efficacy of our proposed approach in enhancing the precision of variance estimation within the context of survey data analysis.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 24754269
2475-4277
2475-4269
Relation: https://doaj.org/toc/2475-4269; https://doaj.org/toc/2475-4277
DOI: 10.1080/24754269.2024.2303915
URL الوصول: https://doaj.org/article/2dcd70085d664bed95499faf0b262f95
رقم الأكسشن: edsdoj.2dcd70085d664bed95499faf0b262f95
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:24754269
24754277
DOI:10.1080/24754269.2024.2303915