J. Cradit

发表

ConPar: a method for identifying groups of concordant subject proximity matrices for subsequent multidimensional scaling analyses

M. Brusco, J. Cradit, 2005 .

A variable-selection heuristic for K-means clustering

M. Brusco, J. Cradit, 2001 .

Emergent clustering methods for empirical OM research

Michael J. Brusco, J. Dennis Cradit, Douglas Steinley, 2012 .

Cautionary Remarks on the Use of Clusterwise Regression

Gavin L. Fox, M. Brusco, D. Steinley, 2008, Multivariate behavioral research.

A Simulated Annealing Heuristic for a Bicriterion Partitioning Problem in Market Segmentation

Michael J. Brusco, Stephanie Stahl, J. Dennis Cradit, 2002 .

Gaussian model‐based partitioning using iterated local search

M. Brusco, D. Steinley, J. Cradit, 2017, The British journal of mathematical and statistical psychology.

Affinity propagation: An exemplar‐based tool for clustering in psychological research

M. Brusco, D. Steinley, J. Cradit, 2019, The British journal of mathematical and statistical psychology.

Cluster analysis in empirical OM research: survey and recommendations

Michael J. Brusco, Douglas Steinley, J. Dennis Cradit, 2017 .

Signal Detection Theory and Single Observation Designs: Methods and Indices for Advertising Recognition Testing

C. Hofacker, J. Cradit, Armen Tashchian, 1994 .

Signal Detection Theory and Single Observation Designs: Methods and Indices for Advertising Recognition Testing

J. Dennis Cradit, Armen Tashchian, C. Hofacker, 1994 .

Graph coloring, minimum-diameter partitioning, and the analysis of confusion matrices

Michael J. Brusco, J. Dennis Cradit, M. Brusco, 2004 .

Multiobjective Multidimensional (City‐Block) Scaling

M. Brusco, S. Stahl, J. Cradit, 2010 .

An integrated dominance analysis and dynamic programing approach for measuring predictor importance for customer satisfaction

M. Brusco, J. Cradit, Susan Brudvig, 2018, Communications in Statistics - Theory and Methods.

A comparison of 71 binary similarity coefficients: The effect of base rates

M. Brusco, D. Steinley, J. Cradit, 2021, PloS one.

An Exact Algorithm for Hierarchically Well-Formulated Subsets in Second-Order Polynomial Regression

Michael J. Brusco, Douglas Steinley, J. Dennis Cradit, 2009, Technometrics.

Joint selection of variables and clusters: recovering the underlying structure of marketing data

Michael J. Brusco, J. Dennis Cradit, Susan Brudvig, 2018, Journal of Marketing Analytics.

Multicriterion Clusterwise Regression for Joint Segmentation Settings: An Application to Customer Value

Michael J. Brusco, J. Dennis Cradit, Armen Tashchian, 2003 .

Joint selection of variables and clusters: recovering the underlying structure of marketing data

M. Brusco, J. Cradit, Susan Brudvig, 2018, Journal of Marketing Analytics.

Combining diversity and dispersion criteria for anticlustering: A bicriterion approach.

Douglas Steinley, Michael J Brusco, J Dennis Cradit, 2020, The British journal of mathematical and statistical psychology.