The Bayesian information criterion (BIC) is one of the most popular criteria for model selection in finite mixture models. However, it implausibly penalizes the complexity of each component using the whole sample size and completely ignores the clustered structure inherent in the data, resulting...

In the application of the popular maximum likelihood method to factor analysis, the number of factors is commonly determined through a two-stage procedure, in which stage 1 performs parameter estimation for a set of candidate models and then stage 2 chooses the best according to certain model...

This book examines the Westernization Movement in modern Chinese History, in the latter 19th century and the economic impact on manufacturing and enterprise evolution. It examines the rise, development, and performance of this movement on both the micro and macro-levels. This book reveals...