本书是国外优秀教材Fundamentals of Biostatistics （第五版）的中译本，由哈佛大学具有丰富教学经验的一流教授编写。 本书是介绍生物统计学重要知识和基本应用的导论性教材。书中运用丰富的医学和生物学实例及流程图，生动形象地阐明了生物统计学的概念内涵和方法公式。为了便于读者自学，本书尽量贯穿初等数学讨论，而不过多涉及高等数学证明，并且每章末附摘要、练习题和参考文献，书末有习题解答、索引及数据光盘。 本书适用于高等院校生物学和医学相关专业师生。

《统计学:从概念到数据分析》主要介绍了概率基础、统计的基本概念、描述性统计、估计、假设检验、回归与分类等内容，同时介绍了决策树、神经网络和随机森林等组合方法以及如何用R、SPSS、SAS等软件来实现相应的计算目标。

In this new edition the author has added substantial material on Bayesian analysis, including lengthy new sections on such important topics as empirical and hierarchical Bayes analysis, Bayesian calculation, Bayesian communication, and group decision making. With these changes, the book can be used as a self-contained introduction to Bayesian analysis. In addition, much of the decision-theoretic portion of the text was updated, including new sections covering such modern topics as minimax multivariate (Stein) estimation.

《Excel应用大全》是由ExcelHome技术专家团队在继《Excel实战技巧精粹》之后的一部更大规模和更高水准的制作。《Excel应用大全》分为7大部分，介绍了Excel的技术特点和应用方法，深入揭示背后的原理概念，并配合有大量典型实用的应用实例，帮助读者全面掌握Excel应用技术。内容包括：Excel的基本功能、使用公式和函数、创建图表和图形、Excel数据分析、Excel的高级功能、使用Excel进行协同、Excel自动化。附录中还提供了Excel快捷键、工作表函数、VBA函数、规范与限制的说明等内容，方便读者随时查看。 点击链接进入Excel应用大全系列： Excel应用大全 Excel 2007应用大全 Excel 2010应用大全

WINNER OF THE 2005 DEGROOT PRIZE! This book is for people who want to learn probability and statistics quickly. It brings together many of the main ideas in modern statistics in one place. The book is suitable for students and researchers in statistics, computer science, data mining and machine learning. This book covers a much wider range of topics than a typical introductory text on mathematical statistics. It includes modern topics like nonparametric curve estimation, bootstrapping and classification, topics that are usually relegated to follow-up courses. The reader is assumed to know calculus and a little linear algebra. No previous knowledge of probability and statistics is required. The text can be used at the advanced undergraduate and graduate level.

《商务与经济统计技术》(第11版)是为主修经济、财政、金融、市场、会计、管理和其他商业管理领域的学生编写的一本优秀教材。通过对《商务与经济统计技术》(第11版)的学习，读者将知道如何在实践中应用统计技术，并从数据中提炼决策信息。