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A Monte Carlo Investigation of Partial Least Squares, With Implications for Both Structural and Measurement Models.
Miguel I. Aguirre-Urreta
George M. Marakas
Michael E. Ellis
Wenying Nan Sun
Published in:
AMCIS (2008)
Keyphrases
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discriminant analysis
partial least squares
monte carlo
structural model
monte carlo simulation
factor analysis
feature extraction
principal component analysis
markov chain
point processes
particle filter
learning algorithm
feature selection