Advances in Latent Variables - Studies in Theoretical and Applied Statistics
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Published By Springer International Publishing

9783319029665, 9783319029672
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Exploring Compositional Data with the Robust Compositional Biplot

2014 ◽  
pp. 219-226 ◽  
Author(s):  
Karel Hron ◽  
Peter Filzmoser
Keyword(s):  
Compositional Data

Business Failure Prediction in Manufacturing: A Robust Bayesian Approach to Discriminant Scoring

2014 ◽  
pp. 277-285
Author(s):  
Maurizio Baussola ◽  
Eleonora Bartoloni ◽  
Aldo Corbellini
Keyword(s):  
Bayesian Approach ◽  
Failure Prediction ◽  
Business Failure

Sparse Orthogonal Factor Analysis

2014 ◽  
pp. 227-239 ◽  
Author(s):  
Kohei Adachi ◽  
Nickolay T. Trendafilov
Keyword(s):  
Factor Analysis ◽  
Orthogonal Factor

A Latent Class Approach for Allocation of Employees to Local Units

2014 ◽  
pp. 83-91
Author(s):  
Davide Di Cecco ◽  
Danila Filipponi ◽  
Irene Rocchetti
Keyword(s):  
Latent Class

Adjustment to the Aggregate Association Index to Minimise the Impact of Large Samples

2014 ◽  
pp. 241-251 ◽  
Author(s):  
Eric J. Beh ◽  
Salman A. Cheema ◽  
Duy Tran ◽  
Irene L. Hudson
Keyword(s):  
Association Index ◽  
Large Samples ◽  
The Impact

Identification of Principal Causal Effects Using Secondary Outcomes

2014 ◽  
pp. 49-59
Author(s):  
Fabrizia Mealli ◽  
Barbara Pacini ◽  
Elena Stanghellini
Keyword(s):  
Causal Effects ◽  
Secondary Outcomes
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