scholarly journals The revelation effect for autobiographical memory: A mixture-model analysis

2009 ◽  
Vol 16 (3) ◽  
pp. 463-468 ◽  
Author(s):  
Daniel M. Bernstein ◽  
Michael E. Rudd ◽  
Edgar Erdfelder ◽  
Ryan Godfrey ◽  
Elizabeth F. Loftus
Keyword(s):  
Autobiographical Memory ◽  
Mixture Model ◽  
Model Analysis ◽  
Revelation Effect

scholarly journals Mixture model analysis of DNA microarray images

2005 ◽  
Vol 24 (7) ◽  
pp. 901-909 ◽  
Author(s):  
K. Blekas ◽  
N.P. Galatsanos ◽  
A. Likas ◽  
I.E. Lagaris
Keyword(s):  
Mixture Model ◽  
Dna Microarray ◽  
Model Analysis

Psychopathology and resilience following traumatic injury: A latent growth mixture model analysis.

2010 ◽  
Vol 55 (1) ◽  
pp. 1-11 ◽  
Author(s):  
Terri A. deRoon-Cassini ◽  
Anthony D. Mancini ◽  
Mark D. Rusch ◽  
George A. Bonanno
Keyword(s):  
Mixture Model ◽  
Traumatic Injury ◽  
Model Analysis ◽  
Latent Growth ◽  
Growth Mixture Model ◽  
Growth Mixture ◽  
Latent Growth Mixture Model

scholarly journals Revealing Criterial Vagueness in Inconsistencies

Open Mind ◽  
2019 ◽  
Vol 3 ◽  
pp. 41-51 ◽  
Author(s):  
Steven Verheyen ◽  
Anne White ◽  
Paul Égré
Keyword(s):  
Mixture Model ◽  
Undergraduate Students ◽  
Ad Hoc ◽  
Model Analysis ◽  
Category Membership ◽  
Category Label ◽  
Probabilistic Process ◽  
Nominal Categories

Sixty undergraduate students made category membership decisions for each of 132 candidate exemplar-category name pairs (e.g., chess – Sports) in each of two separate sessions. They were frequently inconsistent from one session to the next, both for nominal categories such as Sports and Fish, and ad hoc categories such as Things You Rescue from a Burning House. A mixture model analysis revealed that several of these inconsistencies could be attributed to criterial vagueness: participants adopting different criteria for membership in the two sessions. This finding indicates that categorization is a probabilistic process, whereby the conditions for applying a category label are not invariant. Individuals have various functional meanings of nominal categories at their disposal and entertain competing goals for ad hoc categories.

scholarly journals Mixture Model Analysis of Complex Samples

1998 ◽  
Vol 15 (2) ◽  
pp. 225-244 ◽  
Author(s):  
Michel Wedel
Keyword(s):  
Mixture Model ◽  
Model Analysis ◽  
Complex Samples

scholarly journals Estimating Differential Responses to Local Fiscal Conditions: A Mixture Model Analysis

2005 ◽  
Vol 33 (1) ◽  
pp. 36-61 ◽  
Author(s):  
David L. Sjoquist ◽  
Mary Beth Walker ◽  
Sally Wallace
Keyword(s):  
Mixture Model ◽  
Model Analysis ◽  
Fiscal Conditions ◽  
Differential Responses

scholarly journals Metabomxtr: an R package for mixture-model analysis of non-targeted metabolomics data

2014 ◽  
Vol 30 (22) ◽  
pp. 3287-3288 ◽  
Author(s):  
Michael Nodzenski ◽  
Michael J. Muehlbauer ◽  
James R. Bain ◽  
Anna C. Reisetter ◽  
William L. Lowe ◽  
...  
Keyword(s):  
Mixture Model ◽  
R Package ◽  
Model Analysis ◽  
Targeted Metabolomics ◽  
Metabolomics Data
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