概率论，统计

This book provides the theoretical framework needed to build, analyze and interpret various statistical models. It helps readers choose the correct model, distinguish among various choices that best …

This book presents the methodology and applications of a range of important topics in statistics, and is designed for graduate students in Statistics and Biostatistics and for medical researchers. …

A comprehensive introduction to statistical methods for data mining and knowledge discovery. Applications of data mining and ‘big data’ increasingly take center stage in our modern, …

This volume is devoted to original research results and survey articles reviewing recent developments in reduction for stochastic PDEs with multiscale as well as application to science and …

Praise for the Third Edition ‘…this is an excellent book which could easily be used as acourse text…’ –International Statistical Institute The Fourth Edition of Applied Linear Regression …

A comprehensive introduction to bootstrap methods in the Rprogramming environment Bootstrap methods provide a powerful approach to statisticaldata analysis, as they have more general applications …

An easily accessible, real-world approach to probability andstochastic processes Introduction to Probability and Stochastic Processes with Applications presents a clear, easy-to-understand …

This book summarizes the results of various models under normaltheory with a brief review of the literature. Statistical Inference for Models with Multivariate t-Distributed Errors: * Includes a …

A comprehensive and accessible presentation of probabilityand stochastic processes with emphasis on key theoretical conceptsand real-world applications With a sophisticated approach, Probability …

A practical guide to network meta-analysis with examples and code In the evaluation of healthcare, rigorous methods of quantitative assessment are necessary to establish which interventions are …