A new approach for estimating variance of a population employing information obtained from a stratified random sampling
© 2023 The Authors..
In this article, we suggest an enhanced estimator for the estimation of finite population variance using twofold auxiliary variable under stratified random sampling. The numerical expressions for the bias and MSE are determined up to the first order of approximation. In order to effectively validate the theoretical findings, three actual data sets are included. Additionally, the application of the suggested estimators is demonstrated using a simulation study. Results of an empirical comparison among the suggested and existing estimators were investigated. To determine how good the suggested estimator, in comparison to the preliminary estimators, the MSE criterion is used. The suggested estimator has a smaller MSE and better PRE than existing estimators, according to numerical results utilizing actual data sets and a simulation analysis.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2023 |
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| Erschienen: |
2023 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:9 |
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| Enthalten in: |
Heliyon - 9(2023), 11 vom: 01. Nov., Seite e21477 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Ahmad, Sohaib [VerfasserIn] |
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| Links: |
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| Themen: |
Bias |
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| Anmerkungen: |
Date Revised 19.12.2023 published: Electronic-eCollection Citation Status PubMed-not-MEDLINE |
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| doi: |
10.1016/j.heliyon.2023.e21477 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM365973548 |
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| 100 | 1 | |a Ahmad, Sohaib |e verfasserin |4 aut | |
| 245 | 1 | 2 | |a A new approach for estimating variance of a population employing information obtained from a stratified random sampling |
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| 520 | |a © 2023 The Authors. | ||
| 520 | |a In this article, we suggest an enhanced estimator for the estimation of finite population variance using twofold auxiliary variable under stratified random sampling. The numerical expressions for the bias and MSE are determined up to the first order of approximation. In order to effectively validate the theoretical findings, three actual data sets are included. Additionally, the application of the suggested estimators is demonstrated using a simulation study. Results of an empirical comparison among the suggested and existing estimators were investigated. To determine how good the suggested estimator, in comparison to the preliminary estimators, the MSE criterion is used. The suggested estimator has a smaller MSE and better PRE than existing estimators, according to numerical results utilizing actual data sets and a simulation analysis | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a MSE | |
| 650 | 4 | |a PRE | |
| 650 | 4 | |a Simulation | |
| 650 | 4 | |a Stratified random sampling | |
| 650 | 4 | |a Variance | |
| 650 | 4 | |a bias | |
| 700 | 1 | |a Al Mutairi, Aned |e verfasserin |4 aut | |
| 700 | 1 | |a Nassr, Said G |e verfasserin |4 aut | |
| 700 | 1 | |a Alsuhabi, Hassan |e verfasserin |4 aut | |
| 700 | 1 | |a Kamal, Mustafa |e verfasserin |4 aut | |
| 700 | 1 | |a Ur Rehman, Masood |e verfasserin |4 aut | |
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