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Phipps Arabie

Affiliations: 
Rutgers The State University of New Jersey - Newark, United States 
Area:
Marketing Business Administration, Psychometrics Psychology
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"Phipps Arabie"
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Valaipuram K. Srinivas grad student 2000 Rutgers, Newark
Keran Feng grad student 2001 Rutgers, Newark
Pankaj Kohli grad student 2001 Rutgers, Newark
Zinaida Taran grad student 2001 Rutgers, Newark

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Publications

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Hubert LJ, Arabie P, Meulman JJ. (2002) Linear unidimensional scaling in the L2-norm: Basic optimization methods using MATLAB Journal of Classification. 19: 303-328
Hubert L, Arabie P, Meulman J. (2001) Modelling dissimilarity: Generalizing ultrametric and additive tree representations British Journal of Mathematical and Statistical Psychology. 54: 103-123
Hubert L, Arabie P, Meulman J. (1998) Graph-theoretic representations for proximity matrices through strongly-anti-Robinson or circular strongly-anti-Robinson matrices Psychometrika. 63: 341-358
Hubert L, Arabie P, Meulman J. (1998) Graph-theoretic representations for proximity matrices through strongly-anti-Robinson or circular strongly-anti-Robinson matrices Psychometrika. 63: 341-358
Hubert L, Arabie P, Meulman J. (1998) The representation of symmetric proximity data: Dimensions and classifications Computer Journal. 41: 576-577
Hubert L, Arabie P, Meulman J. (1997) Linear and circular unidimensional scaling for symmetric proximity matrices British Journal of Mathematical and Statistical Psychology. 50: 253-284
Hubert L, Arabie P, Meulman J. (1997) Linear and circular unidimensional scaling for symmetric proximity matrices British Journal of Mathematical and Statistical Psychology. 50: 253-284
Hubert L, Arabie P. (1995) Iterative projection strategies for the least-squares fitting of tree structures to proximity data British Journal of Mathematical and Statistical Psychology. 48: 281-317
Hubert L, Arabie P. (1995) The approximation of two-mode proximity matrices by sums of order-constrained matrices Psychometrika. 60: 573-605
Hubert L, Arabie P. (1994) The analysis of proximity matrices through sums of matrices having (anti‐)Robinson forms British Journal of Mathematical and Statistical Psychology. 47: 1-40
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