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Alwin Stegeman

Showing results (1-10 of 11) with videos related to

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Psychometrika|April 8, 2017
Simultaneous Component Analysis by Means of Tucker3Alwin Stegeman
Psychometrika|January 20, 2010
Degeneracy in Candecomp/Parafac and Indscal Explained For Several Three-Sliced Arrays With A Two-Valued Typical RankAlwin Stegeman
Psychometrika|November 26, 2013
Three-mode factor analysis by means of Candecomp/ParafacAlwin Stegeman, Tam T T Lam
The British Journal of Mathematical and Statistical Psychology|November 4, 2015
Multi-set factor analysis by means of Parafac2Alwin Stegeman, Tam T T Lam
Psychometrika|December 29, 2009
On the Non-Existence of Optimal Solutions and the Occurrence of "Degeneracy" in the CANDECOMP/PARAFAC ModelWim P Krijnen, Theo K Dijkstra, Alwin Stegeman
The British Journal of Mathematical and Statistical Psychology|November 15, 2015
Modelling non-normal data: The relationship between the skew-normal factor model and the quadratic factor modelIris A M Smits, Marieke E Timmerman, Alwin Stegeman
Psychometrika|February 16, 2017
Sufficient conditions for uniqueness in Candecomp/Parafac and Indscal with random component matricesAlwin Stegeman, Jos M F Ten Berge, Lieven De Lathauwer
Plos One|March 25, 2015
Belief in a just what? Demystifying just world beliefs by distinguishing sources of justiceKatherine Stroebe, Tom Postmes, Susanne Täuber, et al.
Journal of Affective Disorders|September 24, 2015
Predicting long-term depression outcome using a three-mode principal component model for depression heterogeneityRei Monden, Alwin Stegeman, Henk Jan Conradi, et al.
Plos One|July 16, 2015
Simultaneous Decomposition of Depression Heterogeneity on the Person-, Symptom- and Time-Level: The Use of Three-Mode Principal Component AnalysisRei Monden, Klaas J Wardenaar, Alwin Stegeman, et al.
Pageof 2

Showing results (1-10 of 11) with videos related to

Sort By:
Pageof 2
Psychometrika|April 8, 2017
Simultaneous Component Analysis by Means of Tucker3Alwin Stegeman
Psychometrika|January 20, 2010
Degeneracy in Candecomp/Parafac and Indscal Explained For Several Three-Sliced Arrays With A Two-Valued Typical RankAlwin Stegeman
Psychometrika|November 26, 2013
Three-mode factor analysis by means of Candecomp/ParafacAlwin Stegeman, Tam T T Lam
The British Journal of Mathematical and Statistical Psychology|November 4, 2015
Multi-set factor analysis by means of Parafac2Alwin Stegeman, Tam T T Lam
Psychometrika|December 29, 2009
On the Non-Existence of Optimal Solutions and the Occurrence of "Degeneracy" in the CANDECOMP/PARAFAC ModelWim P Krijnen, Theo K Dijkstra, Alwin Stegeman
The British Journal of Mathematical and Statistical Psychology|November 15, 2015
Modelling non-normal data: The relationship between the skew-normal factor model and the quadratic factor modelIris A M Smits, Marieke E Timmerman, Alwin Stegeman
Psychometrika|February 16, 2017
Sufficient conditions for uniqueness in Candecomp/Parafac and Indscal with random component matricesAlwin Stegeman, Jos M F Ten Berge, Lieven De Lathauwer
Plos One|March 25, 2015
Belief in a just what? Demystifying just world beliefs by distinguishing sources of justiceKatherine Stroebe, Tom Postmes, Susanne Täuber, et al.
Journal of Affective Disorders|September 24, 2015
Predicting long-term depression outcome using a three-mode principal component model for depression heterogeneityRei Monden, Alwin Stegeman, Henk Jan Conradi, et al.
Plos One|July 16, 2015
Simultaneous Decomposition of Depression Heterogeneity on the Person-, Symptom- and Time-Level: The Use of Three-Mode Principal Component AnalysisRei Monden, Klaas J Wardenaar, Alwin Stegeman, et al.
Pageof 2