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  • 1
    Electronic Resource
    Electronic Resource
    Evaluation of monoclonal anti-A and anti-B and affinity-purified Ulex europaeus lectin I for forensic blood grouping (1984)
    Springer
    International journal of legal medicine 93 (1984), S. 259-268 
    Details
    ISSN: 1437-1596
    Keywords: Monoclonal antibody ; AB0 system, bloodstains ; Absorption inhibition, bloodstains ; Absorption elution, bloodstains ; Blutgruppen, monoklonale Antikörper ; Anti-H, Ulex-Präparate
    Source: Springer Online Journal Archives 1860-2000
    Topics: Medicine , Law
    Description / Table of Contents: Zusammenfassung Zwei verschiedene monoklonale Anti-A- und Anti-B-Reagenzien sowie verschiedene Lectin-I-Präparate, durch Affinitätschromatographie aus Ulex-europaeus-Samen gereinigt, wurden mit üblichen Anti-A- und Anti-B-Seren sowie Ulex-Anti-H hinsichtlich ihrer serologischen Eigenschaften im Hemmtest mit Sekretor-Speichel und im Elutionstest bei Blutspuren miteinander verglichen. Die monoklonalen Reagenzien und Ulex-Präparate sind mit den bisher üblichen Reagenzien durchaus vergleichbar und eignen sich gleichermaßen für forensische Hemm- und Elutionstests.
    Notes: Summary Two different monoclonal anti-A and anti-B and several different affinity purified Ulex europaeus lectin I reagents were evaluated and compared with conventional anti-A and anti-B sera and Ulex anti-H for serologic properties, in inhibition tests with secretor salivas, and in elution tests with bloodstains. The monoclonal and purified reagents were found to be comparable to conventional ones, and accordingly suitable for forensic inhibition and elution procedures.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF00198651
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    Paper (German National Licenses)
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  • 2
    Electronic Resource
    Electronic Resource
    The representation of three-way proximity data by single and multiple tree structure models (1984)
    Springer
    Journal of classification 1 (1984), S. 25-74 
    Details
    ISSN: 1432-1343
    Keywords: Clustering ; Alternating least squares ; Discrete optimization
    Source: Springer Online Journal Archives 1860-2000
    Topics: Mathematics
    Notes: Abstract Models for the representation of proximity data (similarities/dissimilarities) can be categorized into one of three groups of models: continuous spatial models, discrete nonspatial models, and hybrid models (which combine aspects of both spatial and discrete models). Multidimensional scaling models and associated methods, used for thespatial representation of such proximity data, have been devised to accommodate two, three, and higher-way arrays. At least one model/method for overlapping (but generally non-hierarchical) clustering called INDCLUS (Carroll and Arabie 1983) has been devised for the case of three-way arrays of proximity data. Tree-fitting methods, used for thediscrete network representation of such proximity data, have only thus far been devised to handle two-way arrays. This paper develops a new methodology called INDTREES (for INdividual Differences in TREE Structures) for fitting various(discrete) tree structures to three-way proximity data. This individual differences generalization is one in which different individuals, for example, are assumed to base their judgments on the same family of trees, but are allowed to have different node heights and/or branch lengths. We initially present an introductory overview focussing on existing two-way models. The INDTREES model and algorithm are then described in detail. Monte Carlo results for the INDTREES fitting of four different three-way data sets are presented. In the application, a single ultrametric tree is fitted to three-way proximity data derived from intention-to-buy-data for various brands of over-the-counter pain relievers for relieving three common types of maladies. Finally, we briefly describe how the INDTREES procedure can be extended to accommodate hybrid modelling, as well as to handle other types of applications.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF01890116
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    Paper (German National Licenses)
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  • 3
    Electronic Resource
    Electronic Resource
    Synthesized clustering: A method for amalgamating alternative clustering bases with differential weighting of variables (1984)
    Springer
    Psychometrika 49 (1984), S. 57-78 
    Details
    ISSN: 1860-0980
    Keywords: Cluster Analysis ; Variable Importance
    Source: Springer Online Journal Archives 1860-2000
    Topics: Psychology
    Notes: Abstract In the application of clustering methods to real world data sets, two problems frequently arise: (a) how can the various contributory variables in a specific battery be weighted so as to enhance some cluster structure that may be present, and (b) how can various alternative batteries be combined to produce a single clustering that “best” incorporates each contributory set. A new method is proposed (SYNCLUS, SYNthesizedCLUStering) for dealing with these two problems.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF02294206
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    Paper (German National Licenses)
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  • 4
    Electronic Resource
    Electronic Resource
    The estimation of ultrametric and path length trees from rectangular proximity data (1984)
    Springer
    Psychometrika 49 (1984), S. 289-310 
    Details
    ISSN: 1860-0980
    Keywords: Cluster Analysis ; Trees
    Source: Springer Online Journal Archives 1860-2000
    Topics: Psychology
    Notes: Abstract A least-squares algorithm for fitting ultrametric and path length or additive trees to two-way, two-mode proximity data is presented. The algorithm utilizes a penalty function to enforce the ultrametric inequality generalized for asymmetric, and generally rectangular (rather than square) proximity matrices in estimating an ultrametric tree. This stage is used in an alternating least-squares fashion with closed-form formulas for estimating path length constants for deriving path length trees. The algorithm is evaluated via two Monte Carlo studies. Examples of fitting ultrametric and path length trees are presented.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF02306021
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    Paper (German National Licenses)
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  • 5
    Electronic Resource
    Electronic Resource
    Confidence regions for INDSCAL using the jackknife and bootstrap techniques (1984)
    Springer
    Psychometrika 49 (1984), S. 475-491 
    Details
    ISSN: 1860-0980
    Keywords: Individual differences ; multidimensional scaling ; stability ; standard errors ; pseudovalues ; maximum likelihood ; resampling schemes
    Source: Springer Online Journal Archives 1860-2000
    Topics: Psychology
    Notes: Abstract Bootstrap and jackknife techniques are used to estimate ellipsoidal confidence regions of group stimulus points derived from INDSCAL. The validity of these estimates is assessed through Monte Carlo analysis. Asymptotic estimates of confidence regions based on a MULTISCALE solution are also evaluated. Our findings suggest that the bootstrap and jackknife techniques may be used to provide statements regarding the accuracy of the relative locations of points in space. Our findings also suggest that MULTISCALE asymptotic estimates of confidence regions based on small samples provide an optimistic view of the actual statistical reliability of the solution.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF02302586
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    Paper (German National Licenses)
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