Computing sum of products about the mean with pairwise algorithms.
We discuss pairwise algorithms, a kind of computational algorithm which can be useful in dynamically updating statistics as new samples of data are collected. Since test data are usually collected through time as individual data sets, these algorithms would be profitably used in computer programs t...
| Publicado en: | Psychological Reports Vol. 81; no. 3; pp. 1387 - 1392 |
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| Autores principales: | , , |
| Formato: | Artículo |
| Publicado: |
Ammons Scientific, Ltd.
Dec97 Part 2
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=507608622&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 507608622 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 00332941 PSR jtl: Psychological Reports issn: 00332941 maglogo: N pubinfo: dt: Dec97 Part 2 vid: 81 iid: 3 pid: 726 pub: Ammons Scientific, Ltd. artinfo: ui: 507608622 ppf: 1387 ppct: 5 formats: tig: atl: Computing sum of products about the mean with pairwise algorithms. aug: au: Molina, J. Gabriel Valero, Pedro M. Sanmartín, Jaime su: Psychological techniques Psychology -- Statistical methods sug: subj: Psychological techniques Psychology -- Statistical methods ab: We discuss pairwise algorithms, a kind of computational algorithm which can be useful in dynamically updating statistics as new samples of data are collected. Since test data are usually collected through time as individual data sets, these algorithms would be profitably used in computer programs to treat this situation. Pairwise algorithms are presented for calculating the sum of products of deviations about the mean for adding a sample of data (or removing one) to the whole data set. Reprinted by permission of the publisher, (1997). pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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