Modeling the Factors Influencing the Evaluations of Items Through Mixture Models for Preference Datasets

ISSN： 0361-0926

Source： Communications in Statistics: Theory and Methods, Vol.42, Iss.1, 2013-01, pp. : 135-144

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

Trajectory Modeling of Longitudinal Binary Data: Application of the EM Algorithm for Mixture Models

By Chu Man-Kee M. Koval John J.

Communications in Statistics: Simulation and Computation, Vol. 43, Iss. 3, 2014-01 ,pp. : 495-519

Taylor & Francis Ltd

Access to resources Recommend Favorite

Bayesian modeling of autoregressive partial linear models with scale mixture of normal errors

By Ferreira Guillermo

Journal of Applied Statistics, Vol. 40, Iss. 8, 2013-08 ,pp. : 1796-1816

Taylor & Francis Ltd

Access to resources Recommend Favorite

Adaptive Testing of Conditional Association Through Recursive Mixture Modeling

By Ma Li

Journal of the American Statistical Association, Vol. 108, Iss. 504, 2013-12 ,pp. : 1493-1505

Taylor & Francis Ltd

Access to resources Recommend Favorite

Mixture models with an improper component

By Longford N. T.

Journal of Applied Statistics, Vol. 38, Iss. 11, 2011-11 ,pp. : 2511-2521

Taylor & Francis Ltd

Access to resources Recommend Favorite

Nonparametric Mixture of Regression Models

By Huang Mian Li Runze Wang Shaoli

Journal of the American Statistical Association, Vol. 108, Iss. 503, 2013-09 ,pp. : 929-941

Taylor & Francis Ltd

Access to resources Recommend Favorite