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  • Articles: DFG German National Licenses  (2)
  • 1985-1989  (2)
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  • Articles: DFG German National Licenses  (2)
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  • 1
    Electronic Resource
    Electronic Resource
    Sequence slotting for stratigraphic correlation between cores: theory and practice (1989)
    Springer
    Journal of paleolimnology 2 (1989), S. 173-184 
    Details
    ISSN: 1573-0417
    Keywords: sequence slotting ; magnetic susceptibility ; isotopes ; palaeomagnetism
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology , Geosciences
    Notes: Abstract Sequence slotting is an objective numerical method which allows stratigraphic records to be compared and matched. Quantitative core correlation can be easily performed using sequence slotting on many types of paleolimnological and geological data. Dynamic programming algorithms have greatly enhanced the speed with which sequence slotting can be carried out. We have further modified the sequence slotting method to limit or even to prevent the formation of long blocks in the slotted sequences. Such blocking or clumping has previously restricted the application of sequence slotting in many practical situations. We have applied the modified dynamic sequence slotting technique, based on common path length summation of Euclidean distances, to magnetic susceptibility data, to isotopic measurements and to palaeomagnetic directions on the sphere.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF00202045
    Library Location Call Number Volume/Issue/Year Availability
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    Paper (German National Licenses)
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  • 2
    Electronic Resource
    Electronic Resource
    A randomization test for the comparison of ordered sequences (1989)
    Springer
    Mathematical geology 21 (1989), S. 429-442 
    Details
    ISSN: 1573-8868
    Keywords: Randomization test ; sequence slotting ; stratigraphic correlation ; sequence comparison ; well logs
    Source: Springer Online Journal Archives 1860-2000
    Topics: Geosciences , Mathematics
    Notes: Abstract Several algorithms, based on dynamic programming techniques, for comparing, matching, or cross-correlating two ordered sequences of observations now exist. All such algorithms produce one or more “optimal” matchings, no matter what data are used. This paper presents an empirical method, based on a randomization test, for assessing how well the given sequences are matched or slotted together. The randomization test is designed to test the assumption, implicit in most cross-correlation algorithms, that both sequences comprise observations, at unknown but ordered times, from the same underlying yet unknown function of time. The test is intuitively appealing, easy to implement, works well on both artificial and real data, and requires no complicated parametric modelling.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF00897327
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Paper (German National Licenses)
    Fulltext
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