A new exponential estimator for finite population mean under double sampling using one auxiliary variable

This paper proposes an exponential estimator of a population mean under double sampling using one auxiliary variable. The proposed estimator is modified from the estimator of Khatua and Misha (2013) and Ozgul and Cingi (2014). The bias and mean square error of the proposed estimator are derived unde...
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Autor*in:	Wuttichai Srisodaphol [verfasserIn] Montip Tiensuwan [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2019

Schlagwörter:	auxiliary variable exponential estimator double sampling

Übergeordnetes Werk:	In: Songklanakarin Journal of Science and Technology (SJST) - Prince of Songkla University, 2005, 41(2019), 1, Seite 53-64
Übergeordnetes Werk:	volume:41 ; year:2019 ; number:1 ; pages:53-64

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.14456/sjst-psu.2019.7

Katalog-ID:	DOAJ046301356

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allfields	10.14456/sjst-psu.2019.7 doi (DE-627)DOAJ046301356 (DE-599)DOAJ066b4be7df854c3a8c654c006daef598 DE-627 ger DE-627 rakwb eng T1-995 Q1-390 Wuttichai Srisodaphol verfasserin aut A new exponential estimator for finite population mean under double sampling using one auxiliary variable 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier This paper proposes an exponential estimator of a population mean under double sampling using one auxiliary variable. The proposed estimator is modified from the estimator of Khatua and Misha (2013) and Ozgul and Cingi (2014). The bias and mean square error of the proposed estimator are derived under the second order of approximation. The efficiency of the proposed estimator is compared with the existing estimators based on mean square error. The results indicate that the proposed estimator is more efficient than others under empirical study with real datasets. auxiliary variable exponential estimator double sampling Technology T Technology (General) Science Q Science (General) Montip Tiensuwan verfasserin aut In Songklanakarin Journal of Science and Technology (SJST) Prince of Songkla University, 2005 41(2019), 1, Seite 53-64 (DE-627)500635552 (DE-600)2204982-4 01253395 nnns volume:41 year:2019 number:1 pages:53-64 https://doi.org/10.14456/sjst-psu.2019.7 kostenfrei https://doaj.org/article/066b4be7df854c3a8c654c006daef598 kostenfrei https://rdo.psu.ac.th/sjstweb/journal/41-1/7.pdf kostenfrei https://doaj.org/toc/0125-3395 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_138 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_647 GBV_ILN_702 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 41 2019 1 53-64
spelling	10.14456/sjst-psu.2019.7 doi (DE-627)DOAJ046301356 (DE-599)DOAJ066b4be7df854c3a8c654c006daef598 DE-627 ger DE-627 rakwb eng T1-995 Q1-390 Wuttichai Srisodaphol verfasserin aut A new exponential estimator for finite population mean under double sampling using one auxiliary variable 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier This paper proposes an exponential estimator of a population mean under double sampling using one auxiliary variable. The proposed estimator is modified from the estimator of Khatua and Misha (2013) and Ozgul and Cingi (2014). The bias and mean square error of the proposed estimator are derived under the second order of approximation. The efficiency of the proposed estimator is compared with the existing estimators based on mean square error. The results indicate that the proposed estimator is more efficient than others under empirical study with real datasets. auxiliary variable exponential estimator double sampling Technology T Technology (General) Science Q Science (General) Montip Tiensuwan verfasserin aut In Songklanakarin Journal of Science and Technology (SJST) Prince of Songkla University, 2005 41(2019), 1, Seite 53-64 (DE-627)500635552 (DE-600)2204982-4 01253395 nnns volume:41 year:2019 number:1 pages:53-64 https://doi.org/10.14456/sjst-psu.2019.7 kostenfrei https://doaj.org/article/066b4be7df854c3a8c654c006daef598 kostenfrei https://rdo.psu.ac.th/sjstweb/journal/41-1/7.pdf kostenfrei https://doaj.org/toc/0125-3395 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_138 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_647 GBV_ILN_702 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 41 2019 1 53-64
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allfieldsSound	10.14456/sjst-psu.2019.7 doi (DE-627)DOAJ046301356 (DE-599)DOAJ066b4be7df854c3a8c654c006daef598 DE-627 ger DE-627 rakwb eng T1-995 Q1-390 Wuttichai Srisodaphol verfasserin aut A new exponential estimator for finite population mean under double sampling using one auxiliary variable 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier This paper proposes an exponential estimator of a population mean under double sampling using one auxiliary variable. The proposed estimator is modified from the estimator of Khatua and Misha (2013) and Ozgul and Cingi (2014). The bias and mean square error of the proposed estimator are derived under the second order of approximation. The efficiency of the proposed estimator is compared with the existing estimators based on mean square error. The results indicate that the proposed estimator is more efficient than others under empirical study with real datasets. auxiliary variable exponential estimator double sampling Technology T Technology (General) Science Q Science (General) Montip Tiensuwan verfasserin aut In Songklanakarin Journal of Science and Technology (SJST) Prince of Songkla University, 2005 41(2019), 1, Seite 53-64 (DE-627)500635552 (DE-600)2204982-4 01253395 nnns volume:41 year:2019 number:1 pages:53-64 https://doi.org/10.14456/sjst-psu.2019.7 kostenfrei https://doaj.org/article/066b4be7df854c3a8c654c006daef598 kostenfrei https://rdo.psu.ac.th/sjstweb/journal/41-1/7.pdf kostenfrei https://doaj.org/toc/0125-3395 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_138 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_647 GBV_ILN_702 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 41 2019 1 53-64
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source	In Songklanakarin Journal of Science and Technology (SJST) 41(2019), 1, Seite 53-64 volume:41 year:2019 number:1 pages:53-64
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author	Wuttichai Srisodaphol
spellingShingle	Wuttichai Srisodaphol misc T1-995 misc Q1-390 misc auxiliary variable misc exponential estimator misc double sampling misc Technology misc T misc Technology (General) misc Science misc Q misc Science (General) A new exponential estimator for finite population mean under double sampling using one auxiliary variable
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topic_title	T1-995 Q1-390 A new exponential estimator for finite population mean under double sampling using one auxiliary variable auxiliary variable exponential estimator double sampling
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title	A new exponential estimator for finite population mean under double sampling using one auxiliary variable
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title_full	A new exponential estimator for finite population mean under double sampling using one auxiliary variable
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title_sort	new exponential estimator for finite population mean under double sampling using one auxiliary variable
callnumber	T1-995
title_auth	A new exponential estimator for finite population mean under double sampling using one auxiliary variable
abstract	This paper proposes an exponential estimator of a population mean under double sampling using one auxiliary variable. The proposed estimator is modified from the estimator of Khatua and Misha (2013) and Ozgul and Cingi (2014). The bias and mean square error of the proposed estimator are derived under the second order of approximation. The efficiency of the proposed estimator is compared with the existing estimators based on mean square error. The results indicate that the proposed estimator is more efficient than others under empirical study with real datasets.
abstractGer	This paper proposes an exponential estimator of a population mean under double sampling using one auxiliary variable. The proposed estimator is modified from the estimator of Khatua and Misha (2013) and Ozgul and Cingi (2014). The bias and mean square error of the proposed estimator are derived under the second order of approximation. The efficiency of the proposed estimator is compared with the existing estimators based on mean square error. The results indicate that the proposed estimator is more efficient than others under empirical study with real datasets.
abstract_unstemmed	This paper proposes an exponential estimator of a population mean under double sampling using one auxiliary variable. The proposed estimator is modified from the estimator of Khatua and Misha (2013) and Ozgul and Cingi (2014). The bias and mean square error of the proposed estimator are derived under the second order of approximation. The efficiency of the proposed estimator is compared with the existing estimators based on mean square error. The results indicate that the proposed estimator is more efficient than others under empirical study with real datasets.
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title_short	A new exponential estimator for finite population mean under double sampling using one auxiliary variable
url	https://doi.org/10.14456/sjst-psu.2019.7 https://doaj.org/article/066b4be7df854c3a8c654c006daef598 https://rdo.psu.ac.th/sjstweb/journal/41-1/7.pdf https://doaj.org/toc/0125-3395
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A new exponential estimator for finite population mean under double sampling using one auxiliary variable

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