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  • Individual differences  (2)
  • Multidimensional scaling  (2)
  • (Bacillus thuringiensis var. israelensis)  (1)
  • 11β,21-dihydroxy-3,20-dioxo-5α-pregnane-18-al-11, 18hemiacetal  (1)
  • 1
    Digitale Medien
    Digitale Medien
    Amsterdam : Elsevier
    Steroids 37 (1981), S. 111-120 
    ISSN: 0039-128X
    Schlagwort(e): 11-deoxycorticosterone acetate (DOCA) ; 11β,17,21-trihydroxy-5α-pregnane-3,20-dione ; 11β,21-dihydroxy-3,20-dioxo-5α-pregnane-18-al-11, 18hemiacetal ; 17β-hydroxy-5α-androstan-3-one ; 21-hydroxy-4-pregnene-3,20-dione-21-acetate ; 21-hydroxy-5α-pregnane-3,20-dione ; 5α-dihydro-11-deoxycorticosterone (5αDHDOC) ; 5α-dihydrocortisol ; 5α-dihydroprogesterone ; 5α-dihydrotestosterone (DHT) ; 5α-pregnane-3,20-dione ; 5αdihydroaldosterone
    Quelle: Elsevier Journal Backfiles on ScienceDirect 1907 - 2002
    Thema: Medizin
    Materialart: Digitale Medien
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
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  • 2
    ISSN: 0014-5793
    Schlagwort(e): (Bacillus thuringiensis var. israelensis) ; Endotoxin, δ- ; Ion channel ; Planar lipid bilayer
    Quelle: Elsevier Journal Backfiles on ScienceDirect 1907 - 2002
    Thema: Biologie , Chemie und Pharmazie , Physik
    Materialart: Digitale Medien
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
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  • 3
    Digitale Medien
    Digitale Medien
    Springer
    Journal of classification 12 (1995), S. 57-71 
    ISSN: 1432-1343
    Schlagwort(e): Weighted Euclidean model ; INDSCAL ; Multidimensional scaling ; Specificities ; Monotone splines
    Quelle: Springer Online Journal Archives 1860-2000
    Thema: Mathematik
    Notizen: Abstract The INDSCAL individual differences scaling model is extended by assuming dimensions specific to each stimulus or other object, as well as dimensions common to all stimuli or objects. An “alternating maximum likelihood” procedure is used to seek maximum likelihood estimates of all parameters of this EXSCAL (Extended INDSCAL) model, including parameters of monotone splines assumed in a “quasi-nonmetric” approach. The rationale for and numerical details of this approach are described and discussed, and the resulting EXSCAL method is illustrated on some data on perception of musical timbres.
    Materialart: Digitale Medien
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
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  • 4
    Digitale Medien
    Digitale Medien
    Springer
    Journal of classification 6 (1989), S. 105-119 
    ISSN: 1432-1343
    Schlagwort(e): Individual differences ; Multidimensional scaling ; Rational starting configuration ; INDSCAL
    Quelle: Springer Online Journal Archives 1860-2000
    Thema: Mathematik
    Notizen: Abstract Five different methods for obtaining a rational initial estimate of the stimulus space in the INDSCAL model were compared using the SINDSCAL program for fitting INDSCAL. The effect of the number of stimuli, the number of subjects, the dimensionality, and the amount of error on the quality and efficiency of the final SINDSCAL solution were investigated in a Monte Carlo study. We found that the quality of the final solution was not affected by the choice of the initialization method, suggesting that SINDSCAL finds a global optimum regardless of the initialization method used. The most efficient procedures were the methods proposed by by de Leeuw and Pruzansky (1978) and by Flury and Gautschi (1986) for the simultaneous diagonalization of several positive definite symmetric matrices, and a method based on linearly constraining the stimulus space using the CANDELINC approach developed by Carroll, Pruzansky, and Kruskal (1980).
    Materialart: Digitale Medien
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
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  • 5
    Digitale Medien
    Digitale Medien
    Springer
    Psychometrika 49 (1984), S. 475-491 
    ISSN: 1860-0980
    Schlagwort(e): Individual differences ; multidimensional scaling ; stability ; standard errors ; pseudovalues ; maximum likelihood ; resampling schemes
    Quelle: Springer Online Journal Archives 1860-2000
    Thema: Psychologie
    Notizen: 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.
    Materialart: Digitale Medien
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
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