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...

Detection of outliers or influential observations is an important work in statistical modeling, especially for the correlated time series data. In this paper we propose a new procedure to detect patch of influential observations in the generalized autoregressive conditional heteroskedasticity...

This dissertation is based on fifteen months of field research in Shanghai and Beijing conducted in 2002 and 2004. The central question with which this dissertation is concerned is how clothing and the clothing industry is constituted by and constitutive of the phenomenal changes that have taken...

This dissertation is based on fifteen months of field research in Shanghai and Beijing conducted in 2002 and 2004. The central question with which this dissertation is concerned is how clothing and the clothing industry is constituted by and constitutive of the phenomenal changes that have taken...

Fungi and algae are specific microbial groups associated with the deterioration and safety of stone monuments. In this study, the high-throughput sequencing analysis was used to investigate the diversity, distributions, ecological functions, and interaction patterns of both fungal and algal...

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...