Error estimation in stratigraphic correlation

Odell, John

doi:10.1007/bf02080491

Cited by 9 publications

(5 citation statements)

References 2 publications

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“…If the duration of the temporal random walk is fixed by introducing a second ACP at t = N Δ t , the expected variance between the two fixed points behaves as a “Brownian bridge” process. Following Odell [1975] and Bhattacharya and Waymire [1990], the Brownian bridge analogue of is where N is the total number of time steps between the 2 ACPs. Age variance is then zero at the two end points, with a maximum at the midpoint.…”

Section: Time and Sediment Accumulationmentioning

confidence: 99%

A depth‐derived Pleistocene age model: Uncertainty estimates, sedimentation variability, and nonlinear climate change

2004

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The Harvard community has made this article openly available. Please share how this access benefits you. Your story matters [1] A new chronology of glaciation, spanning the last 780,000 years, is estimated from 21 marine sediment cores using depth as a proxy for time. To avoid biasing this ''depth-derived'' age estimate, the depth scale is first corrected for the effects of sediment compaction. To provide age uncertainty estimates, the spatial and temporal variability of marine sediment accumulation rates are estimated and modeled as an autocorrelated stochastic process. Depth-derived ages are estimated to be accurate to within ±9000 years, and within this uncertainty are consistent with the orbitally tuned age estimates. Nonetheless, the remaining differences between the depth and orbitally tuned chronologies produce important differences in the spectral domain. From the d 18 O record, using the depth-derived ages, we infer that there are weak nonlinearities involving the 100 kyr and obliquity frequency bands which generate interaction bands at sum and difference frequencies. If an orbitally tuned age model is instead applied, these interactions are suppressed, with the system appearing more nearly linear.

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Section: Time and Sediment Accumulationmentioning

confidence: 99%

A depth‐derived Pleistocene age model: Uncertainty estimates, sedimentation variability, and nonlinear climate change

2004

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“…Deterministic solutions to the problem of finding the LOC include many of the developments of Shaw's approach (Miller, 1977;review by Edwards, 1984): these have as their objective just the positioning of the line on the graph. In contrast, the probabilistic attitude is typified by the technique developed by Odell (1975), who defines the position of the LOC only by its confidence interval.…”

Section: G Deterministic and Probabilistic Attitudesmentioning

confidence: 99%

Techniques for quantitative stratigraphic correlation: a review and annotated bibliography

Tipper

1988

Geol. Mag.

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The development of techniques for quantitative stratigraphic correlation has tended to outstrip their acceptance by practising stratigraphers. To make these techniques more readily accessible and to encourage their use, this paper presents a brief, general review of the problem of quantitative stratigraphic correlation and then shows how, using a natural framework for stratigraphic correlation, the stratigraphic time-series, there can be seen an orderly pattern among them. The annotated bibliography, of almost 400 articles, includes a majority of those references concerned with quantitative stratigraphic correlation, in whatever sense: the scheme of annotation provides a straightforward, albeit subjective indication of the general thrust of each article.

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“…The most usual procedure in stratigraphy (as emphasized in the diagram) is from local lithostratigraphy via biostratigraphy into chronostratigraphy. In certain cases it may be possible to attempt correlation directly from lithostratigraphy by means of particular rock types such as bentonites or tillites, or perhaps by the methods of quantitative stratigraphy which have been tentatively explored for example by Shaw (1964) and Odell (1975). The 'golden spike' provides a unique route of certainty (by definition) from lithostratigraphy to chronostratigraphical standard.…”

Section: Stratigraphy and Geochronometrymentioning

confidence: 99%

Stratigraphical classification and all that

Holland

1978

LET

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Quantitative treatment of the geological sciences must remain limited; there continues to be need for a language of words. This is keenly felt in stratigraphy, where the practising geologist is dismayed by the effusions of the stratigraphical philosophers. The situation, in so far as it appears to remain in some ways obscure or troublesome, is briefly reviewed in terms of lithostratigraphy. biostratigraphy. and chronostratigraphy. A revised version of a controversial diagram is presented, in which the role of the boundary stratotype as anchor point is believed to be clarified. Finally a synthesis is attempted of relationships between the various stratigraphical procedures and the provision of dates in years through the parallel discipline of geochronometry.

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Error estimation in stratigraphic correlation

Cited by 9 publications

References 2 publications

A depth‐derived Pleistocene age model: Uncertainty estimates, sedimentation variability, and nonlinear climate change

A depth‐derived Pleistocene age model: Uncertainty estimates, sedimentation variability, and nonlinear climate change

Techniques for quantitative stratigraphic correlation: a review and annotated bibliography

Stratigraphical classification and all that

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