Improved novel estimation for estimation of population distribution function using auxiliary information under stratified sampling strategy Article Swipe
YOU?
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· 2024
· Open Access
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· DOI: https://doi.org/10.1016/j.jrras.2024.101011
The distribution function (DF) is a determinant functional parameter in many academic disciplines that use probability tools for data analysis, such as economics and medicine. Among other functions, it helps to estimate quantiles and other parameters. Therefore, strategies for its efficient estimation are needed. In this article, we have suggested improved classes of estimators for the estimation of population DF using auxiliary information. These include the conventional unbiased estimator, the difference-type estimator, and other well-known estimators. We derive numerical expressions for the corresponding bias and mean squared error (MSE) from the first-order approximation, aiming to evaluate their effectivness. When compared to some existing competitors, the suggested estimators performed much better in terms of minimum MSE and higher percentage relative efficiency (PRE).
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1016/j.jrras.2024.101011
- OA Status
- gold
- Cited By
- 9
- References
- 43
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4400194435
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4400194435Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1016/j.jrras.2024.101011Digital Object Identifier
- Title
-
Improved novel estimation for estimation of population distribution function using auxiliary information under stratified sampling strategyWork title
- Type
-
articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2024Year of publication
- Publication date
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2024-07-01Full publication date if available
- Authors
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H. E. Semary, Sohaib Ahmad, Walaa Ahmed Hamdi, Olayan Albalawi, Ibrahim Elbatal, Christophe Chesneau, Sanaa Al-MarzoukiList of authors in order
- Landing page
-
https://doi.org/10.1016/j.jrras.2024.101011Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
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https://doi.org/10.1016/j.jrras.2024.101011Direct OA link when available
- Concepts
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Estimator, Quantile, Mean squared error, Mathematics, Statistics, Population, Estimation, Efficiency, Efficient estimator, Applied mathematics, Minimum-variance unbiased estimator, Engineering, Sociology, Systems engineering, DemographyTop concepts (fields/topics) attached by OpenAlex
- Cited by
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9Total citation count in OpenAlex
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2025: 6, 2024: 3Per-year citation counts (last 5 years)
- References (count)
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43Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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