<Para ID="Par1">In this study, a recently proposed data-fitting factor analysis (DFFA) procedure is generalized for categorical variable analysis. For generalized DFFA (GDFFA), we develop an alternating least squares algorithm consisting of a multiple quantification step and a model parameters estimation step....</para>

In this paper we consider estimation of models popular in efficiency and productivity analysis (such as the stochastic frontier model, truncated regression model, etc.) via the local maximum likelihood method, generalizing this method here to allow for not only continuous but also discrete...

The massive amount of data collected from industrial processes has challenged researchers and practitioners, turning variable selection into a research topic of interest both in academia and in industry. The use of redundant, irrelevant, and noisy variables tends to compromise the performance of...

In the RC association model for a two-way contingency table, it is often natural to impose order constraints on the score parameters of the row and column variables. In this article, a simple and efficient Bayesian model selection procedure is proposed that simultaneously compares all possible...

This Discussion Paper documents a survey conducted in rural China in 2005. A multi-topic survey funded by the Sino-German international Training Program Sustainable Resource Use in North China, the project covers farm management, land property rights and rural credit access on the North China...

This Discussion Paper documents a survey conducted in rural China in 2005. A multi-topic survey funded by the Sino-German international Training Program "Sustainable Resource Use in North China", the project covers farm management, land property rights and rural credit access on the North China...