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On Variance Estimation With Applications in Engineering.

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Title: On Variance Estimation With Applications in Engineering.
Authors: Azeem, Muhammad1 (AUTHOR) azeemstats@uom.edu.pk, Salam, Abdul1 (AUTHOR), Ramírez, Franco1 (AUTHOR) franco.ramirez@unican.es
Source: Modelling & Simulation in Engineering. 11/24/2025, Vol. 2025, p1-7. 7p.
Subjects: Minimum variance estimation, Analysis of variance, Statistics, Acquisition of data, Empirical research, Comparative studies, Engineering firms, Time measurements
Abstract: In many fields of engineering, researchers are often interested in analyzing the variation in the values of certain variables such as airtime, tensile strength, air quality, and temperature. In the case of large population sizes, such fluctuations are estimated by observing a small sample from the population of interest and estimating the variance using the sample data. This paper introduces an improved estimator of the population variance by utilizing auxiliary information. Various properties of the suggested variance estimator have been studied. Additionally, to demonstrate the efficiency of the suggested variance estimator, a real‐life data set on airflight time has been used. The comparative analysis suggests that the suggested variance estimator performs better than the competitor variance estimators which makes it the best estimator for real‐world application. [ABSTRACT FROM AUTHOR]
Copyright of Modelling & Simulation in Engineering is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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DbLabel: Engineering Source
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  Data: On Variance Estimation With Applications in Engineering.
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  Data: <searchLink fieldCode="AR" term="%22Azeem%2C+Muhammad%22">Azeem, Muhammad</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> azeemstats@uom.edu.pk</i><br /><searchLink fieldCode="AR" term="%22Salam%2C+Abdul%22">Salam, Abdul</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Ramírez%2C+Franco%22">Ramírez, Franco</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> franco.ramirez@unican.es</i>
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  Data: <searchLink fieldCode="JN" term="%22Modelling+%26+Simulation+in+Engineering%22">Modelling & Simulation in Engineering</searchLink>. 11/24/2025, Vol. 2025, p1-7. 7p.
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  Data: <searchLink fieldCode="DE" term="%22Minimum+variance+estimation%22">Minimum variance estimation</searchLink><br /><searchLink fieldCode="DE" term="%22Analysis+of+variance%22">Analysis of variance</searchLink><br /><searchLink fieldCode="DE" term="%22Statistics%22">Statistics</searchLink><br /><searchLink fieldCode="DE" term="%22Acquisition+of+data%22">Acquisition of data</searchLink><br /><searchLink fieldCode="DE" term="%22Empirical+research%22">Empirical research</searchLink><br /><searchLink fieldCode="DE" term="%22Comparative+studies%22">Comparative studies</searchLink><br /><searchLink fieldCode="DE" term="%22Engineering+firms%22">Engineering firms</searchLink><br /><searchLink fieldCode="DE" term="%22Time+measurements%22">Time measurements</searchLink>
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  Data: In many fields of engineering, researchers are often interested in analyzing the variation in the values of certain variables such as airtime, tensile strength, air quality, and temperature. In the case of large population sizes, such fluctuations are estimated by observing a small sample from the population of interest and estimating the variance using the sample data. This paper introduces an improved estimator of the population variance by utilizing auxiliary information. Various properties of the suggested variance estimator have been studied. Additionally, to demonstrate the efficiency of the suggested variance estimator, a real‐life data set on airflight time has been used. The comparative analysis suggests that the suggested variance estimator performs better than the competitor variance estimators which makes it the best estimator for real‐world application. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Modelling & Simulation in Engineering is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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      – Type: doi
        Value: 10.1155/mse/5002750
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      – Code: eng
        Text: English
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        PageCount: 7
        StartPage: 1
    Subjects:
      – SubjectFull: Minimum variance estimation
        Type: general
      – SubjectFull: Analysis of variance
        Type: general
      – SubjectFull: Statistics
        Type: general
      – SubjectFull: Acquisition of data
        Type: general
      – SubjectFull: Empirical research
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      – SubjectFull: Comparative studies
        Type: general
      – SubjectFull: Engineering firms
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      – SubjectFull: Time measurements
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      – TitleFull: On Variance Estimation With Applications in Engineering.
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            NameFull: Azeem, Muhammad
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            NameFull: Salam, Abdul
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            NameFull: Ramírez, Franco
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            – D: 24
              M: 11
              Text: 11/24/2025
              Type: published
              Y: 2025
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              Value: 2025
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            – TitleFull: Modelling & Simulation in Engineering
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