Fertility estimation from open birth-interval data.
A maximum likelihood method for estimating fertility from open-interval data is proposed as an alternative to the standard approach. The new estimators have lower variances and smaller biases than standard estimators for open-interval data. As a result, the new method is more likely to produce cor...
| Publicado en: | Demography Vol. 36; no. 4; pp. 505 - 520 |
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| Formato: | Artículo |
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Springer Science & Business Media B.V.
November 1999
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| 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=511137862&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 511137862 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 00703370 DEM jtl: Demography issn: 00703370 maglogo: N pubinfo: dt: November 1999 vid: 36 iid: 4 pid: 237 pub: Springer Science & Business Media B.V. artinfo: ui: 511137862 10.2307/2648087 ppf: 505 ppct: 15 formats: fmt: @attributes: type: T tig: atl: Fertility estimation from open birth-interval data. aug: au: Schmertmann, Carl P. su: Statistics Demography methodology Birth intervals Fertility, Human Mathematical models Brazil sug: subj: Brazil Statistics Demography methodology Birth intervals Fertility, Human Mathematical models ab: A maximum likelihood method for estimating fertility from open-interval data is proposed as an alternative to the standard approach. The new estimators have lower variances and smaller biases than standard estimators for open-interval data. As a result, the new method is more likely to produce correct results from small or moderately sized samples. Further research is necessary, especially on data from countries and regions other than Brazil, where there are differences in recent fertility patterns and trends. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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