scholarly journals Capturing the heterogeneity of urban growth in South Korea using a latent class regression model

2018 ◽  
Vol 22 (5) ◽  
pp. 1325-1325
2018 ◽  
Vol 22 (3) ◽  
pp. 789-805 ◽  
Author(s):  
Soyoung Park ◽  
Jae Hyun Lee ◽  
Keith C. Clarke

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.


2017 ◽  
Vol 41 (1) ◽  
pp. 1-18
Author(s):  
J.A. Carrasco-Gallego ◽  
S.B. Caudill ◽  
F.G. Mixon ◽  
R.J. Cebula

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

2017 ◽  
Vol 43 (6) ◽  
pp. 1021-1040 ◽  
Author(s):  
Cathy Chatel ◽  
Mateu Morillas-Torné ◽  
Albert Esteve ◽  
Jordi Martí-Henneberg

This work seeks to measure, locate, and explain changes in the distribution of population and urban growth in the territory formed by France, Italy, and the Iberian Peninsula between 1920 and 2010. This is based on population data of more than fifty-six thousand local units obtained from population censuses: the Geokhoris database that we built. Our starting viewpoint is that it is only possible to understand the extent of the urbanization process within the context of the evolution of all of the municipalities. The description of the distribution and growth of population at the local level shows the population concentration in the various urban agglomerations, and, since 1970, a relative deconcentration and extension of the cities. Within this context, a regression model helped us to identify the geographic factors that correlate with these fundamental transformations in population geography, which were also indicative of new forms of social organization within the territory.


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

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