Professor TIAN Maozai is Vice Director of Center for Applied Statistics, Renmin University of China. His research covers a large range of topics in mathematics and statistics, such as quantile regression, hierarchical models, hierarchical- quantile regression modeling, big data modeling, adaptive smoothing, Bayesian statistical inference, computer intensive methods, etc.
This book offers a concise and comprehensive introduction to Hierarchical Quantile Modeling, a modern statistical methodology that extends traditional hierarchical models and quantile regression techniques to analyze complex data structures often found in fields like biology, economics,...
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