Loading…
On estimating the variance of the systematic sample mean
We propose a new estimator of the variance of the systematic sample mean, which is based on a sum of two components: the first takes into account ofthe trend in the population list, the second takes into account of the stochastic component of a general superpopulation model. Such an estimator is com...
Saved in:
Published in: | Journal of the Italian Statistical Society 1998-08, Vol.7 (2), p.185-196 |
---|---|
Main Authors: | , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
cited_by | cdi_FETCH-LOGICAL-c170m-ace3b9fa48d6f3df7a6ed53082d9bb5aeab14b3af78e792401bf72f5b1a5fa743 |
---|---|
cites | cdi_FETCH-LOGICAL-c170m-ace3b9fa48d6f3df7a6ed53082d9bb5aeab14b3af78e792401bf72f5b1a5fa743 |
container_end_page | 196 |
container_issue | 2 |
container_start_page | 185 |
container_title | Journal of the Italian Statistical Society |
container_volume | 7 |
creator | Bartolucci, Francesco Montanari, Giorgio |
description | We propose a new estimator of the variance of the systematic sample mean, which is based on a sum of two components: the first takes into account ofthe trend in the population list, the second takes into account of the stochastic component of a general superpopulation model. Such an estimator is compared with the simple random sampling variance estimator and the estimator based on overlapping differences, both theoretically and empirically. The comparison shows that for many superpopulation models, the proposed estimator outperforms the other two.[PUBLICATION ABSTRACT] |
doi_str_mv | 10.1007/BF03178928 |
format | article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_1701283509</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>3767621211</sourcerecordid><originalsourceid>FETCH-LOGICAL-c170m-ace3b9fa48d6f3df7a6ed53082d9bb5aeab14b3af78e792401bf72f5b1a5fa743</originalsourceid><addsrcrecordid>eNpFkF1LwzAUhoMoOKc3_oKCd0I1J2mb5FKH08FgNwrehdM2cR1rG5NusH9vuolevJyvh_NFyC3QB6BUPD7PKQchFZNnZAIF8FRJ-Dw_-jJlOdBLchXChlLOecYnRK66xIShaXFouq9kWJtkj77BrjJJb49xOITBjPUqCdi6rUlag901ubC4Debm107Jx_zlffaWLlevi9nTMq1A0DbFyvBSWcxkXVheW4GFqXNOJatVWeZosISs5GiFNEKxjEJpBbN5CZhbFBmfkrtTX-f7711cVW_6ne_iSB0HAJM8pypS9yeq8n0I3ljtfLzJHzRQPX5G_38mwosT7I0z1R8ZnA9Di87pveYoog5RoJSMpoliUW5MyVyDKvR6aPkPkKFunA</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1701283509</pqid></control><display><type>article</type><title>On estimating the variance of the systematic sample mean</title><source>ABI/INFORM Global</source><source>Springer Nature</source><creator>Bartolucci, Francesco ; Montanari, Giorgio</creator><creatorcontrib>Bartolucci, Francesco ; Montanari, Giorgio</creatorcontrib><description>We propose a new estimator of the variance of the systematic sample mean, which is based on a sum of two components: the first takes into account ofthe trend in the population list, the second takes into account of the stochastic component of a general superpopulation model. Such an estimator is compared with the simple random sampling variance estimator and the estimator based on overlapping differences, both theoretically and empirically. The comparison shows that for many superpopulation models, the proposed estimator outperforms the other two.[PUBLICATION ABSTRACT]</description><identifier>ISSN: 1618-2510</identifier><identifier>ISSN: 1121-9130</identifier><identifier>EISSN: 1613-981X</identifier><identifier>DOI: 10.1007/BF03178928</identifier><language>eng</language><publisher>Pisa: Springer</publisher><subject>Moving averages ; Overlapping differences ; Superpopulation model</subject><ispartof>Journal of the Italian Statistical Society, 1998-08, Vol.7 (2), p.185-196</ispartof><rights>Società Italiana di Statistica 1998</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c170m-ace3b9fa48d6f3df7a6ed53082d9bb5aeab14b3af78e792401bf72f5b1a5fa743</citedby><cites>FETCH-LOGICAL-c170m-ace3b9fa48d6f3df7a6ed53082d9bb5aeab14b3af78e792401bf72f5b1a5fa743</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/1701283509/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$H</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/1701283509?pq-origsite=primo$$EHTML$$P50$$Gproquest$$H</linktohtml><link.rule.ids>314,780,784,11688,27924,27925,36060,44363,74895</link.rule.ids><backlink>$$Uhttp://econpapers.repec.org/article/sprstmapp/v_3a7_3ay_3a1998_3ai_3a2_3ap_3a185-196.htm$$DView record in RePEc$$Hfree_for_read</backlink></links><search><creatorcontrib>Bartolucci, Francesco</creatorcontrib><creatorcontrib>Montanari, Giorgio</creatorcontrib><title>On estimating the variance of the systematic sample mean</title><title>Journal of the Italian Statistical Society</title><description>We propose a new estimator of the variance of the systematic sample mean, which is based on a sum of two components: the first takes into account ofthe trend in the population list, the second takes into account of the stochastic component of a general superpopulation model. Such an estimator is compared with the simple random sampling variance estimator and the estimator based on overlapping differences, both theoretically and empirically. The comparison shows that for many superpopulation models, the proposed estimator outperforms the other two.[PUBLICATION ABSTRACT]</description><subject>Moving averages</subject><subject>Overlapping differences</subject><subject>Superpopulation model</subject><issn>1618-2510</issn><issn>1121-9130</issn><issn>1613-981X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1998</creationdate><recordtype>article</recordtype><sourceid>M0C</sourceid><recordid>eNpFkF1LwzAUhoMoOKc3_oKCd0I1J2mb5FKH08FgNwrehdM2cR1rG5NusH9vuolevJyvh_NFyC3QB6BUPD7PKQchFZNnZAIF8FRJ-Dw_-jJlOdBLchXChlLOecYnRK66xIShaXFouq9kWJtkj77BrjJJb49xOITBjPUqCdi6rUlag901ubC4Debm107Jx_zlffaWLlevi9nTMq1A0DbFyvBSWcxkXVheW4GFqXNOJatVWeZosISs5GiFNEKxjEJpBbN5CZhbFBmfkrtTX-f7711cVW_6ne_iSB0HAJM8pypS9yeq8n0I3ljtfLzJHzRQPX5G_38mwosT7I0z1R8ZnA9Di87pveYoog5RoJSMpoliUW5MyVyDKvR6aPkPkKFunA</recordid><startdate>19980801</startdate><enddate>19980801</enddate><creator>Bartolucci, Francesco</creator><creator>Montanari, Giorgio</creator><general>Springer</general><general>Springer Nature B.V</general><scope>DKI</scope><scope>X2L</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7SC</scope><scope>7WY</scope><scope>7WZ</scope><scope>7XB</scope><scope>87Z</scope><scope>88I</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FK</scope><scope>8FL</scope><scope>8G5</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FRNLG</scope><scope>FYUFA</scope><scope>F~G</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>H8D</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>K60</scope><scope>K6~</scope><scope>L.-</scope><scope>L6V</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>M0C</scope><scope>M2O</scope><scope>M2P</scope><scope>M7S</scope><scope>MBDVC</scope><scope>PADUT</scope><scope>PQBIZ</scope><scope>PQBZA</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>PYYUZ</scope><scope>Q9U</scope></search><sort><creationdate>19980801</creationdate><title>On estimating the variance of the systematic sample mean</title><author>Bartolucci, Francesco ; Montanari, Giorgio</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c170m-ace3b9fa48d6f3df7a6ed53082d9bb5aeab14b3af78e792401bf72f5b1a5fa743</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1998</creationdate><topic>Moving averages</topic><topic>Overlapping differences</topic><topic>Superpopulation model</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Bartolucci, Francesco</creatorcontrib><creatorcontrib>Montanari, Giorgio</creatorcontrib><collection>RePEc IDEAS</collection><collection>RePEc</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Computer and Information Systems Abstracts</collection><collection>ABI/INFORM Collection</collection><collection>ABI/INFORM Global (PDF only)</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ABI/INFORM Global (Alumni Edition)</collection><collection>Science Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ABI/INFORM Collection (Alumni Edition)</collection><collection>Research Library (Alumni Edition)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>Business Premium Collection</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Business Premium Collection (Alumni)</collection><collection>Health Research Premium Collection</collection><collection>ABI/INFORM Global (Corporate)</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>Aerospace Database</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Computer Science Collection</collection><collection>ProQuest Business Collection (Alumni Edition)</collection><collection>ProQuest Business Collection</collection><collection>ABI/INFORM Professional Advanced</collection><collection>ProQuest Engineering Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>ABI/INFORM Global</collection><collection>Research Library</collection><collection>Science Database</collection><collection>Engineering Database</collection><collection>Research Library (Corporate)</collection><collection>Research Library China</collection><collection>ProQuest One Business</collection><collection>ProQuest One Business (Alumni)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><collection>ABI/INFORM Collection China</collection><collection>ProQuest Central Basic</collection><jtitle>Journal of the Italian Statistical Society</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Bartolucci, Francesco</au><au>Montanari, Giorgio</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>On estimating the variance of the systematic sample mean</atitle><jtitle>Journal of the Italian Statistical Society</jtitle><date>1998-08-01</date><risdate>1998</risdate><volume>7</volume><issue>2</issue><spage>185</spage><epage>196</epage><pages>185-196</pages><issn>1618-2510</issn><issn>1121-9130</issn><eissn>1613-981X</eissn><abstract>We propose a new estimator of the variance of the systematic sample mean, which is based on a sum of two components: the first takes into account ofthe trend in the population list, the second takes into account of the stochastic component of a general superpopulation model. Such an estimator is compared with the simple random sampling variance estimator and the estimator based on overlapping differences, both theoretically and empirically. The comparison shows that for many superpopulation models, the proposed estimator outperforms the other two.[PUBLICATION ABSTRACT]</abstract><cop>Pisa</cop><pub>Springer</pub><doi>10.1007/BF03178928</doi><tpages>12</tpages></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1618-2510 |
ispartof | Journal of the Italian Statistical Society, 1998-08, Vol.7 (2), p.185-196 |
issn | 1618-2510 1121-9130 1613-981X |
language | eng |
recordid | cdi_proquest_journals_1701283509 |
source | ABI/INFORM Global; Springer Nature |
subjects | Moving averages Overlapping differences Superpopulation model |
title | On estimating the variance of the systematic sample mean |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-26T17%3A51%3A42IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=On%20estimating%20the%20variance%20of%20the%20systematic%20sample%20mean&rft.jtitle=Journal%20of%20the%20Italian%20Statistical%20Society&rft.au=Bartolucci,%20Francesco&rft.date=1998-08-01&rft.volume=7&rft.issue=2&rft.spage=185&rft.epage=196&rft.pages=185-196&rft.issn=1618-2510&rft.eissn=1613-981X&rft_id=info:doi/10.1007/BF03178928&rft_dat=%3Cproquest_cross%3E3767621211%3C/proquest_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c170m-ace3b9fa48d6f3df7a6ed53082d9bb5aeab14b3af78e792401bf72f5b1a5fa743%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=1701283509&rft_id=info:pmid/&rfr_iscdi=true |