Generalized Exponential Estimators of Finite Population Mean Using Transformed Auxiliary Variables

Yasmeen, Uzma; Noor‐ul‐Amin, Muhammad; Hanif, Muhammad

doi:10.1007/s40819-015-0034-x

Cited by 10 publications

(6 citation statements)

References 7 publications

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“…Following Yasmeen et al (2015), a generalized dual to exponential ratio type estimator under non response is proposed. The bias and MSE expression of the proposed estimator has been derived.…”

Section: The Proposed Estimatormentioning

confidence: 99%

Promoting Statistical Practice and Collaboration in Developing Countries

Awe¹,

Love²,

Vance³

2022

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Reasonable efforts have been made to publish reliable data and information, but the author and publisher cannot assume responsibility for the validity of all materials or the consequences of their use. The authors and publishers have attempted to trace the copyright holders of all material reproduced in this publication and apologize to copyright holders if permission to publish in this form has not been obtained. If any copyright material has not been acknowledged, please write to us and let us know so that we may rectify it in any future reprint.The Open Access version of this book, available at www.taylorfrancis.com, has been made available under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 license Trademark notice: Product or corporate names may be trademarks or registered trademarks and are used only for identification and explanation without intent to infringe.

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Section: The Proposed Estimatormentioning

confidence: 99%

Promoting Statistical Practice and Collaboration in Developing Countries

Awe¹,

Love²,

Vance³

2022

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“…When X 1 = X 2 such as for variance estimation in (Muneer, Khalil, Shabbir, and Narjis, 2018), this is a particular case of the additive parametric ratio estimator introduced just above. The third one is related to (Yasmeen, Amin, and Hanif, 2015;Adichwal, Sharma, and Singh, 2017). See for a comparison of this kind of estimators.…”

Section: Exemples Of Generalized Estimatorsmentioning

confidence: 99%

Visualization of generalized mean estimators using auxiliary information in survey sampling

Priam

2019

Communications in Statistics - Theory and Methods

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“…Yasmeen et al 17 proposed generalized exponential estimators of finite population mean using transformed auxiliary variables. Singh et al 18 discussed an alternative efficient class of estimators for finite population mean using information on an auxiliary attribute in sample surveys.…”

Section: Introductionmentioning

confidence: 99%

New generalized class of estimators for estimation of finite population mean based on probability proportional to size sampling using two auxiliary variables: A simulation study

Ahmad,

Shabbir,

Zahid

et al. 2023

Science Progress

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This article aims to suggest a new generalized class of estimators based on probability proportional to size sampling using two auxiliary variables. The numerical expressions for the bias and mean squared error (MSE) are derived up to the first order of approximation. Four actual data sets are used to examine the performances of a new improved generalized class of estimators. From the results of real data sets, it is examined that the suggested estimator gives the minimum MSE and the percentage relative efficiency is higher than all existing estimators, which shows the importance of the new generalized class of estimators. To check the strength and generalizability of our proposed class of estimators, a simulation study is also accompanied. The consequence of the simulation study shows the worth of newly found proposed class estimators. Overall, we get to the conclusion that the proposed estimator outperforms as compared to all other estimators taken into account in this study.

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Generalized Exponential Estimators of Finite Population Mean Using Transformed Auxiliary Variables

Cited by 10 publications

References 7 publications

Promoting Statistical Practice and Collaboration in Developing Countries

Promoting Statistical Practice and Collaboration in Developing Countries

Visualization of generalized mean estimators using auxiliary information in survey sampling

New generalized class of estimators for estimation of finite population mean based on probability proportional to size sampling using two auxiliary variables: A simulation study

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