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Relationships between calibrated ages and depth in stratigraphical sequences: an estimation procedure by mixed-effect regression

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dc.contributor.author Heegaard, Einar
dc.contributor.author Birks, Harry John Betteley
dc.contributor.author Telford, Richard J.
dc.date.accessioned 2007-12-11T10:27:35Z
dc.date.available 2007-12-11T10:27:35Z
dc.date.issued 2005
dc.identifier.citation The Holocene 2005 15(4): 612-618 en
dc.identifier.issn 0959-6836
dc.identifier.uri http://dx.doi.org/10.1191/0959683605hl836rr
dc.identifier.uri http://hdl.handle.net/1956/2489
dc.description.abstract We present a procedure for estimating age-depth relationships in stratigraphical sequences by means of a generalized mixed-effect regression using an ancillary function for the partitioning of the fixed effect and the random effect corresponding to the degree of representativity of the individual calibrated dates for a particular section of the sedimentary sequence. The procedure uses mid-point estimates of the calibrated ages in combination with the central distributional range as the basis for estimating the fixed relationship between age and depth. Further, it combines the variability of the calibrated age at individual layers (within-object variance) with estimation of the variability of the calibrated age distribution as a whole between the layers standardized by the fixed effect (between-object variance). These components of random variability can be considered independent, and hence the uncertainty of the estimated fixed relationship between age and depth can be estimated by combining the two random variables. The procedure follows the logic of mixed-effects models, but with prior information about the expected variance within each dated object. en
dc.language.iso eng en
dc.publisher SAGE en
dc.subject Sediment sequences en
dc.subject Age-depth relationships en
dc.subject GAM en
dc.subject Mixed effects en
dc.subject Calibrated ages en
dc.title Relationships between calibrated ages and depth in stratigraphical sequences: an estimation procedure by mixed-effect regression en
dc.type Peer reviewed en
dc.type Journal article en
dc.subject.nsi VDP::Matematikk og Naturvitenskap: 400::Zoologiske og botaniske fag: 480 no


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