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Relationships between calibrated ages and depth in stratigraphical sequences

An estimation procedure by mixed-effect regression

Bibliographic Data

ID12267758
AuthorsEinar Heegaard (Bjerknes Centre for Climate Research, University of Bergen, All6gaten 55, 5007 Bergen, Norway; Biological Institute, University of Bergen, Allegaten 41, 5007 Bergen, Norway, corresponding author), H J B Birks (0000-0002-5891-9859, Bjerknes Centre for Climate Research, University of Bergen, All6gaten 55, 5007 Bergen, Norway; Biological Institute, University of Bergen, Allegaten 41, 5007 Bergen, Norway; Environmental Change Research Centre, University College London, 26 Bedford Way, London WCIH OAP, UK), Richard J Telford (0000-0001-9826-3076, Bjerknes Centre for Climate Research, University of Bergen, All6gaten 55, 5007 Bergen, Norway)
Year2005
Volume15
Issue4
Pages612-618
Publication date2005-05-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueThe Holocene (JOURNAL)
Journal identifiersISSN: 0959-6836 • E-ISSN: 1477-0911
PublisherSAGE Publishing (PUBLISHER • US)
DOI10.1191/0959683605hl836rr
OpenAlexW2162314192
LanguageEN
Citations received74
References cited23

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

Econometrics · Estimation · Linear regression · Random effects model · Range (aeronautics · Regression · Regression analysis · Sequence (biology · Statistics · Variance (accounting · Variance components · Archaeology and ancient environmental studies · Geological formations and processes · Geology and Paleoclimatology Research · Mathematics

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Unique citing works74
Citations per year3,52
Citation span2005 - 2025 (21)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 65
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