Using Partially Balanced Designs for the Half Sample Replication Method of Variance Estimation
This article considers the use of G-order partially balanced designs for half sample replication method of variance estimation. A new procedure for the arrangement of strata (AAA) is proposed which is shown for a certain class of statistics and for even G to be more efficient than an earlier arrange...
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| Veröffentlicht in: | Journal of the American Statistical Association 1973-09, Vol.68 (343), p.612-614 |
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| container_end_page | 614 |
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| container_issue | 343 |
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| container_title | Journal of the American Statistical Association |
| container_volume | 68 |
| creator | Lee, Kok-Huat |
| description | This article considers the use of G-order partially balanced designs for half sample replication method of variance estimation. A new procedure for the arrangement of strata (AAA) is proposed which is shown for a certain class of statistics and for even G to be more efficient than an earlier arrangement (SAOA) when the sequence {a
h
= W
2
h
σ
2
hu
) is monotonic increasing with either strict downward or strict upward convexity, where W
h
, is the stratum weight and σ
2
hu
the within-stratum variance. |
| doi_str_mv | 10.1080/01621459.1973.10481393 |
| format | Article |
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h
= W
2
h
σ
2
hu
) is monotonic increasing with either strict downward or strict upward convexity, where W
h
, is the stratum weight and σ
2
hu
the within-stratum variance.</description><identifier>ISSN: 0162-1459</identifier><identifier>EISSN: 1537-274X</identifier><identifier>DOI: 10.1080/01621459.1973.10481393</identifier><language>eng</language><publisher>Taylor & Francis Group</publisher><subject>Consistent estimators ; Data sampling ; Estimation methods ; Estimators ; Increasing sequences ; Random sampling ; Statistical variance ; Survey sampling ; Theory and Methods</subject><ispartof>Journal of the American Statistical Association, 1973-09, Vol.68 (343), p.612-614</ispartof><rights>Copyright Taylor & Francis Group, LLC 1973</rights><rights>Copyright 1973 American Statistical Association</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c235t-90beb701a57ac4a79b0f6bbba0ef9251167634197ba1ebce505881ec733527303</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.jstor.org/stable/pdf/2284787$$EPDF$$P50$$Gjstor$$H</linktopdf><linktohtml>$$Uhttps://www.jstor.org/stable/2284787$$EHTML$$P50$$Gjstor$$H</linktohtml><link.rule.ids>314,780,784,803,832,27924,27925,58017,58021,58250,58254</link.rule.ids></links><search><creatorcontrib>Lee, Kok-Huat</creatorcontrib><title>Using Partially Balanced Designs for the Half Sample Replication Method of Variance Estimation</title><title>Journal of the American Statistical Association</title><description>This article considers the use of G-order partially balanced designs for half sample replication method of variance estimation. A new procedure for the arrangement of strata (AAA) is proposed which is shown for a certain class of statistics and for even G to be more efficient than an earlier arrangement (SAOA) when the sequence {a
h
= W
2
h
σ
2
hu
) is monotonic increasing with either strict downward or strict upward convexity, where W
h
, is the stratum weight and σ
2
hu
the within-stratum variance.</description><subject>Consistent estimators</subject><subject>Data sampling</subject><subject>Estimation methods</subject><subject>Estimators</subject><subject>Increasing sequences</subject><subject>Random sampling</subject><subject>Statistical variance</subject><subject>Survey sampling</subject><subject>Theory and Methods</subject><issn>0162-1459</issn><issn>1537-274X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1973</creationdate><recordtype>article</recordtype><recordid>eNqFkMtKAzEUhoMoWC-vIFm4nZrLzCSzrLVeoKKoFVeGZJq0KemkJAHp25uxFtx5NgfO-f9z-QC4wGiIEUdXCNcEl1UzxA2juVRyTBt6AAa4oqwgrPw4BINeVPSqY3AS4wrlYJwPwOcs2m4Bn2VIVjq3hdfSya7Vc3ijo110ERofYFpqeC-dga9yvXEavuiNs61M1nfwUaeln0Nv4LsMtvfCSUx2_dM9A0dGuqjPf_MpmN1O3sb3xfTp7mE8mhYtoVUqGqS0YgjLism2lKxRyNRKKYm0aUiFcc1qWub_lMRatbpCFedYt4zSijCK6Cmod3Pb4GMM2ohNyCeErcBI9JTEnpLoKYk9pWy83BlXMfnw10UoYoIQXjLOsmy0k9ku81jLLx_cXCS5dT6YkJ-2UdB_Vn0DVZN6ag</recordid><startdate>19730901</startdate><enddate>19730901</enddate><creator>Lee, Kok-Huat</creator><general>Taylor & Francis Group</general><general>American Statistical Association</general><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>19730901</creationdate><title>Using Partially Balanced Designs for the Half Sample Replication Method of Variance Estimation</title><author>Lee, Kok-Huat</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c235t-90beb701a57ac4a79b0f6bbba0ef9251167634197ba1ebce505881ec733527303</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1973</creationdate><topic>Consistent estimators</topic><topic>Data sampling</topic><topic>Estimation methods</topic><topic>Estimators</topic><topic>Increasing sequences</topic><topic>Random sampling</topic><topic>Statistical variance</topic><topic>Survey sampling</topic><topic>Theory and Methods</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Lee, Kok-Huat</creatorcontrib><collection>CrossRef</collection><jtitle>Journal of the American Statistical Association</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Lee, Kok-Huat</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Using Partially Balanced Designs for the Half Sample Replication Method of Variance Estimation</atitle><jtitle>Journal of the American Statistical Association</jtitle><date>1973-09-01</date><risdate>1973</risdate><volume>68</volume><issue>343</issue><spage>612</spage><epage>614</epage><pages>612-614</pages><issn>0162-1459</issn><eissn>1537-274X</eissn><abstract>This article considers the use of G-order partially balanced designs for half sample replication method of variance estimation. A new procedure for the arrangement of strata (AAA) is proposed which is shown for a certain class of statistics and for even G to be more efficient than an earlier arrangement (SAOA) when the sequence {a
h
= W
2
h
σ
2
hu
) is monotonic increasing with either strict downward or strict upward convexity, where W
h
, is the stratum weight and σ
2
hu
the within-stratum variance.</abstract><pub>Taylor & Francis Group</pub><doi>10.1080/01621459.1973.10481393</doi><tpages>3</tpages></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0162-1459 |
| ispartof | Journal of the American Statistical Association, 1973-09, Vol.68 (343), p.612-614 |
| issn | 0162-1459 1537-274X |
| language | eng |
| recordid | cdi_jstor_primary_10_2307_2284787 |
| source | JSTOR Mathematics & Statistics; JSTOR Archive Collection A-Z Listing |
| subjects | Consistent estimators Data sampling Estimation methods Estimators Increasing sequences Random sampling Statistical variance Survey sampling Theory and Methods |
| title | Using Partially Balanced Designs for the Half Sample Replication Method of Variance Estimation |
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