Decomposition of Latent Class Regression Model Estimates: An Application to Hunting Land Lease Prices

2017 ◽  
Vol 41 (1) ◽  
pp. 1-18
Author(s):  
J.A. Carrasco-Gallego ◽  
S.B. Caudill ◽  
F.G. Mixon ◽  
R.J. Cebula
Risk Analysis ◽  
2019 ◽  
Vol 39 (8) ◽  
pp. 1771-1782 ◽  
Author(s):  
Lorena Charrier ◽  
Paola Berchialla ◽  
Paola Dalmasso ◽  
Alberto Borraccino ◽  
Patrizia Lemma ◽  
...  

2004 ◽  
Vol 8 (4) ◽  
pp. 247-260 ◽  
Author(s):  
Lars Erichsen ◽  
Per Bruun Brockhoff

In this paper we apply a statistical model combining a random coefficient regression model and a latent class regression model. The EM-algorithm is used for maximum likelihood estimation of the unknown parameters in the model and it is pointed out how this leads to a straightforward handling of a number of different variance/covariance restrictions. Finally, the model is used to analyze how consumers' preferences for eight coffee samples relate to sensory characteristics of the coffees. Within this application the analysis corresponds to a model-based version of the so-called external preference mapping.


2005 ◽  
Vol 42 (3-4) ◽  
pp. 301-312 ◽  
Author(s):  
S. Lipovetsky ◽  
W.M. Conklin

2018 ◽  
Vol 22 (3) ◽  
pp. 789-805 ◽  
Author(s):  
Soyoung Park ◽  
Jae Hyun Lee ◽  
Keith C. Clarke

Author(s):  
Li hua Liu ◽  
Ming lei Song ◽  
Jian rong Liu ◽  
Xue jiao Wang ◽  
Ming hui Wang

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