This edited volume features cutting-edge topics from the leading researchers in the areas of latent variable modeling. Content highlights include coverage of approaches dealing with missing values, semi-parametric estimation, robust analysis, hierarchical data, factor scores, multi-group...

Metamodel is widely used to deal with analysis and optimization of complex system. Structural optimization related to crashworthiness is of particular importance to automotive industry nowadays, which involves highly nonlinear characteristics with material and structural parameters. This paper...

This study examines the productivity growth of the nationwide banks of China and a sample of city commercial, banks for the eleven years to 2007. Estimates of total factor productivity growth are constructed with appropriate confidence intervals, using a bootstrap method for the Malmquist index....

The existing Chinese banking system was born out of a state-planning framework focussed on the funding of state-owned enterprises. Despite the development of a modern banking system, numerous studies of Chinese banking point to its high level of average inefficiency. Much of this inefficiency...

This study examines the productivity growth of the nationwide banks of China and a sample of city commercial, banks for the ten years to 2007. Using a bootstrap method for the Malmquist index, estimates of the total factor productivity growth are constructed. Five different models of inputs and...

The two most commonly used penalized model selection criteria, the Bayesian information criterion (BIC) and Akaike’s information criterion (AIC), are examined and compared. Their motivations as approximations of two different target quantities are discussed, and their performance in...

The item count method is a way of asking sensitive survey questions which protects the anonymity of the respondents by randomization before the interview. It can be used to estimate the probability of sensitive behaviour and to model how it depends on explanatory variables. We analyse item count...