A caveat concerning the application of the jack-knife to designed data
The jack-knife is a resampling method that is increasingly used for assessing the uncertainty in regression coefficient estimates, even when the predictor variables ( X) are designed. Application of the jack-knife to designed data, however, violates a basic assumption underlying all resampling metho...
Gespeichert in:
| Veröffentlicht in: | Analytica chimica acta 2007-11, Vol.603 (2), p.155-158 |
|---|---|
| 1. Verfasser: | |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 158 |
|---|---|
| container_issue | 2 |
| container_start_page | 155 |
| container_title | Analytica chimica acta |
| container_volume | 603 |
| creator | Faber, Nicolaas (Klaas) M. |
| description | The jack-knife is a resampling method that is increasingly used for assessing the uncertainty in regression coefficient estimates, even when the predictor variables (
X) are designed. Application of the jack-knife to designed data, however, violates a basic assumption underlying all resampling methods, namely that the resampled units should constitute a random sample from some distribution; the idea is to ‘resample the sample.’ This paper advances the view that the jack-knife should not be applied to estimate the uncertainty in regression coefficient estimates obtained from designed data, since a sound alternative is available. A literature data set is re-analyzed to lend support to this view. |
| doi_str_mv | 10.1016/j.aca.2007.10.002 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_68444307</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0003267007016558</els_id><sourcerecordid>30942178</sourcerecordid><originalsourceid>FETCH-LOGICAL-c412t-ba714c9e19ae30fb5fa11edbcdc792a1ef5a5fc7a52cd52948191523d6934f1d3</originalsourceid><addsrcrecordid>eNqFkU1vFDEMhiMEokvhB3BBc4HbLHE-ZibiVFUUkCpxgXPkdZyS7ezMksxW6r8ny67UG5ys13psWY-FeAtyDRK6j9s1Eq6VlH3NaynVM7GCodet0co8FysppW5V18sL8aqUbY0KpHkpLqB3nR60XYmbq4bwgXFpaJ6I85Smu2b5xQ3u92MiXNI8NXP829oi3bf3U4rcLHMTuKS7iUMTcMHX4kXEsfCbc70UP28-_7j-2t5-__Lt-uq2JQNqaTfYgyHH4JC1jBsbEYDDhgL1TiFwtGgj9WgVBaucGcCBVTp0TpsIQV-KD6e9-zz_PnBZ_C4V4nHEiedD8d1gjNGy_y-opTMK-qGCcAIpz6Vkjn6f0w7zowfpj5b91lfL_mj52KoO68y78_LDZsfhaeKstQLvzwAWwjFmnCiVJ84psFbLyn06cVydPSTOvlDi-oeQMtPiw5z-ccYf-TyY3g</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>30942178</pqid></control><display><type>article</type><title>A caveat concerning the application of the jack-knife to designed data</title><source>ScienceDirect Journals (5 years ago - present)</source><creator>Faber, Nicolaas (Klaas) M.</creator><creatorcontrib>Faber, Nicolaas (Klaas) M.</creatorcontrib><description>The jack-knife is a resampling method that is increasingly used for assessing the uncertainty in regression coefficient estimates, even when the predictor variables (
X) are designed. Application of the jack-knife to designed data, however, violates a basic assumption underlying all resampling methods, namely that the resampled units should constitute a random sample from some distribution; the idea is to ‘resample the sample.’ This paper advances the view that the jack-knife should not be applied to estimate the uncertainty in regression coefficient estimates obtained from designed data, since a sound alternative is available. A literature data set is re-analyzed to lend support to this view.</description><identifier>ISSN: 0003-2670</identifier><identifier>EISSN: 1873-4324</identifier><identifier>DOI: 10.1016/j.aca.2007.10.002</identifier><identifier>PMID: 17963835</identifier><identifier>CODEN: ACACAM</identifier><language>eng</language><publisher>Amsterdam: Elsevier B.V</publisher><subject>Analytical chemistry ; Chemistry ; Design ; Exact sciences and technology ; General, instrumentation ; Jack-knife ; Regression coefficient ; Resampling ; Uncertainty estimate</subject><ispartof>Analytica chimica acta, 2007-11, Vol.603 (2), p.155-158</ispartof><rights>2007 Elsevier B.V.</rights><rights>2008 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c412t-ba714c9e19ae30fb5fa11edbcdc792a1ef5a5fc7a52cd52948191523d6934f1d3</citedby><cites>FETCH-LOGICAL-c412t-ba714c9e19ae30fb5fa11edbcdc792a1ef5a5fc7a52cd52948191523d6934f1d3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.aca.2007.10.002$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,780,784,3550,27924,27925,45995</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=19215530$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/17963835$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Faber, Nicolaas (Klaas) M.</creatorcontrib><title>A caveat concerning the application of the jack-knife to designed data</title><title>Analytica chimica acta</title><addtitle>Anal Chim Acta</addtitle><description>The jack-knife is a resampling method that is increasingly used for assessing the uncertainty in regression coefficient estimates, even when the predictor variables (
X) are designed. Application of the jack-knife to designed data, however, violates a basic assumption underlying all resampling methods, namely that the resampled units should constitute a random sample from some distribution; the idea is to ‘resample the sample.’ This paper advances the view that the jack-knife should not be applied to estimate the uncertainty in regression coefficient estimates obtained from designed data, since a sound alternative is available. A literature data set is re-analyzed to lend support to this view.</description><subject>Analytical chemistry</subject><subject>Chemistry</subject><subject>Design</subject><subject>Exact sciences and technology</subject><subject>General, instrumentation</subject><subject>Jack-knife</subject><subject>Regression coefficient</subject><subject>Resampling</subject><subject>Uncertainty estimate</subject><issn>0003-2670</issn><issn>1873-4324</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2007</creationdate><recordtype>article</recordtype><recordid>eNqFkU1vFDEMhiMEokvhB3BBc4HbLHE-ZibiVFUUkCpxgXPkdZyS7ezMksxW6r8ny67UG5ys13psWY-FeAtyDRK6j9s1Eq6VlH3NaynVM7GCodet0co8FysppW5V18sL8aqUbY0KpHkpLqB3nR60XYmbq4bwgXFpaJ6I85Smu2b5xQ3u92MiXNI8NXP829oi3bf3U4rcLHMTuKS7iUMTcMHX4kXEsfCbc70UP28-_7j-2t5-__Lt-uq2JQNqaTfYgyHH4JC1jBsbEYDDhgL1TiFwtGgj9WgVBaucGcCBVTp0TpsIQV-KD6e9-zz_PnBZ_C4V4nHEiedD8d1gjNGy_y-opTMK-qGCcAIpz6Vkjn6f0w7zowfpj5b91lfL_mj52KoO68y78_LDZsfhaeKstQLvzwAWwjFmnCiVJ84psFbLyn06cVydPSTOvlDi-oeQMtPiw5z-ccYf-TyY3g</recordid><startdate>20071112</startdate><enddate>20071112</enddate><creator>Faber, Nicolaas (Klaas) M.</creator><general>Elsevier B.V</general><general>Elsevier</general><scope>IQODW</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7U5</scope><scope>8FD</scope><scope>L7M</scope><scope>7X8</scope></search><sort><creationdate>20071112</creationdate><title>A caveat concerning the application of the jack-knife to designed data</title><author>Faber, Nicolaas (Klaas) M.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c412t-ba714c9e19ae30fb5fa11edbcdc792a1ef5a5fc7a52cd52948191523d6934f1d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2007</creationdate><topic>Analytical chemistry</topic><topic>Chemistry</topic><topic>Design</topic><topic>Exact sciences and technology</topic><topic>General, instrumentation</topic><topic>Jack-knife</topic><topic>Regression coefficient</topic><topic>Resampling</topic><topic>Uncertainty estimate</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Faber, Nicolaas (Klaas) M.</creatorcontrib><collection>Pascal-Francis</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>Technology Research Database</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>MEDLINE - Academic</collection><jtitle>Analytica chimica acta</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Faber, Nicolaas (Klaas) M.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A caveat concerning the application of the jack-knife to designed data</atitle><jtitle>Analytica chimica acta</jtitle><addtitle>Anal Chim Acta</addtitle><date>2007-11-12</date><risdate>2007</risdate><volume>603</volume><issue>2</issue><spage>155</spage><epage>158</epage><pages>155-158</pages><issn>0003-2670</issn><eissn>1873-4324</eissn><coden>ACACAM</coden><abstract>The jack-knife is a resampling method that is increasingly used for assessing the uncertainty in regression coefficient estimates, even when the predictor variables (
X) are designed. Application of the jack-knife to designed data, however, violates a basic assumption underlying all resampling methods, namely that the resampled units should constitute a random sample from some distribution; the idea is to ‘resample the sample.’ This paper advances the view that the jack-knife should not be applied to estimate the uncertainty in regression coefficient estimates obtained from designed data, since a sound alternative is available. A literature data set is re-analyzed to lend support to this view.</abstract><cop>Amsterdam</cop><pub>Elsevier B.V</pub><pmid>17963835</pmid><doi>10.1016/j.aca.2007.10.002</doi><tpages>4</tpages></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0003-2670 |
| ispartof | Analytica chimica acta, 2007-11, Vol.603 (2), p.155-158 |
| issn | 0003-2670 1873-4324 |
| language | eng |
| recordid | cdi_proquest_miscellaneous_68444307 |
| source | ScienceDirect Journals (5 years ago - present) |
| subjects | Analytical chemistry Chemistry Design Exact sciences and technology General, instrumentation Jack-knife Regression coefficient Resampling Uncertainty estimate |
| title | A caveat concerning the application of the jack-knife to designed data |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-06T19%3A29%3A09IST&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=A%20caveat%20concerning%20the%20application%20of%20the%20jack-knife%20to%20designed%20data&rft.jtitle=Analytica%20chimica%20acta&rft.au=Faber,%20Nicolaas%20(Klaas)%20M.&rft.date=2007-11-12&rft.volume=603&rft.issue=2&rft.spage=155&rft.epage=158&rft.pages=155-158&rft.issn=0003-2670&rft.eissn=1873-4324&rft.coden=ACACAM&rft_id=info:doi/10.1016/j.aca.2007.10.002&rft_dat=%3Cproquest_cross%3E30942178%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=30942178&rft_id=info:pmid/17963835&rft_els_id=S0003267007016558&rfr_iscdi=true |