This well-respected text is designed for the first course in probability and statistics taken by students majoring in Engineering and the Computing Sciences. The prerequisite is one year of calculus. The text offers a balanced presentation of applications and theory. The authors take care to develop the theoretical foundations for the statistical methods presented at a level that is accessible to students with only a calculus background. They explore the practical implications of the formal results to problem-solving so that students gain an understanding of the logic behind the techniques as well as practice in using them. The examples, exercises, and applications were chosen specifically for students in engineering and computer science, and include opportunities for real data analysis.

《人人都来掷骰子:日常生活中的概率与统计》内容简介：概率和统计以各种各样的方式影响着普通百姓的生活——正如《人人都来掷骰子:日常生活中的概率与统计》书名所示。信息常常是确切的，可总是会带有偏向性。《人人都来掷骰子:日常生活中的概率与统计》提供了概率和统计的重要结论，而这并没有对读者施加数学上的重负。它将能使一个有才智的读者恰当地评价统计信息，并且理解同样的信息可以用不同的方式来描述。

《概率论与数理统计》是由中国科学技术大学出版社出版的。

本书是概率论方面的经典名著，篇幅短小，叙述精辟，具有较高的理论水平。书中以简练的笔法介绍了概率方面的主要内容，包括事件、概率、概率空间、均值、特征函数等基本概念，还有大数定律、Poisson小数定律、遍历定理以及随机过程的基本内容。作者通过数学的结构之美来传达数学的旋律之美。 本书试图用测度论工具严格地研究概率论，适合相关领域的本科生、研究生和教师作为参考书，是每一位概率学者的案头佳作。

《概率论与数理统计(第4版)》是普通高等教育“十一五”国家级规划教材，在2001年出版的《概率论与数理统计(第4版)》（第三版）的基础上增订而成。本次修订新增的内容有：在数理统计中应用Excel，bootstrap方法，户值检验法，箱线图等；同时吸收了国内外优秀教材的优点对习题的类型和数量进行了调整和充实。 《概率论与数理统计(第4版)》主要内容包括概率论、数理统计、随机过程三部分，每章附有习题；同时涵盖了《全国硕士研究生入学统一考试数学考试大纲》的所有知识点。《概率论与数理统计(第4版)》可作为高等学校工科、理科（非数学专业）各专业的教材和研究生入学考试的参考书，也可供工程技术人员、科技工作者参考。 点击链接进入： 《概率论与数理统计习题全解指南(浙大•第4版)》

《概率导论(第2版)》是在MIT开设概率论入门课程的基础上编写的, 其内容全面, 例题和习题丰富, 结构层次性强, 能够满足不同读者的需求。书中介绍了概率模型、离散随机变量和连续随机变量、多元随机变量以及极限理论等概率论基本知识, 还介绍了矩母函数、条件概率的现代定义、独立随机变量的和、最小二乘估计等高级内容。 《概率导论(第2版)》可作为所有高等院校概率论入门的基础教程, 也可作为有关概率论方面的参考书。

《机会的数学》的主要内容是：15世纪之前，以中华文明为代表的东方文明曾遥遥领先于当时的西方文明。从汉代到明代初期，中国的科学技术在世界上一直领先长达14个世纪以上。在那个时期，影响世界文明进程的重要发明中，相当部分是中华民族的贡献。后来，中国逐渐落后了。中国为什么落后？近代从林则徐以来许多志士仁人就不断提出和思索这个历史课题。但都没有找到正确的答案。以毛泽东同志、邓小平同志为代表的中国共产党人作出了唯一正确的回答:中国落后，是由于生产力的落后和社会政治的腐朽。西方列强对中国的欺凌，更加剧了中国经济的落后和国家的衰败。

统计学：基本概念和方法，ISBN：9787040078916，作者：（美）[G.R.埃维森]Gudmund R.Iversen，（美）[M.格根]Mary Gergen著；吴喜之等译

In this irreverent and illuminating book, acclaimed writer and scientist Leonard Mlodinow shows us how randomness, change, and probability reveal a tremendous amount about our daily lives, and how we misunderstand the significance of everything from a casual conversation to a major financial setback. As a result, successes and failures in life are often attributed to clear and obvious cases, when in actuality they are more profoundly influenced by chance. The rise and fall of your favorite movie star of the most reviled CEO--in fact, of all our destinies--reflects as much as planning and innate abilities. Even the legendary Roger Maris, who beat Babe Ruth's single-season home run record, was in all likelihood not great but just lucky. And it might be shocking to realize that you are twice as likely to be killed in a car accident on your way to buying a lottery ticket than you are to win the lottery. How could it have happened that a wine was given five out of five stars, the highest rating, in one journal and in another it was called the worst wine of the decade? Mlodinow vividly demonstrates how wine ratings, school grades, political polls, and many other things in daily life are less reliable than we believe. By showing us the true nature of change and revealing the psychological illusions that cause us to misjudge the world around us, Mlodinow gives fresh insight into what is really meaningful and how we can make decisions based on a deeper truth. From the classroom to the courtroom, from financial markets to supermarkets, from the doctor's office to the Oval Office, Mlodinow's insights will intrigue, awe, and inspire. Offering readers not only a tour of randomness, chance, and probability but also a new way of looking at the world, this original, unexpected journey reminds us that much in our lives is about as predictable as the steps of a stumbling man fresh from a night at the bar.

样章试读请到下面的链接下载： 目录 http://goo.gl/tlCLf 序言 http://goo.gl/65x6e 第一章 http://goo.gl/WTnC9 第二章 http://goo.gl/5WUhT 若下载遇到问题，请邮件联系：lispython@gmail.com。谢谢！ 《深入浅出统计学》具有深入浅出系列的一贯特色，提供最符合直觉的理解方式，让统计理论的学习既有趣又自然。从应对考试到解决实际问题，无论你是学生还是数据分析师，都能从中受益。本书涵盖的知识点包括：信息可视化、概率计算、几何分布、二项分布及泊松分布、正态分布、统计抽样、置信区 间的构建、假设检验、卡方分布、相关与回归等等，完整涵盖AP 考试范围。本书运用充满互动性的真实世界情节，教给你有关这门学科的所有基础，为这个枯燥的领域带来鲜活的乐趣，不仅让你充分掌握统计学的要义，更会告诉你如何将统计理论应用到日常生活中。

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.

《概率论与数理统计教程》包括事件与概率、随机变量（一维与多维）及其分布、大数定律及中心极限定理、统计量及其分布、参数估计、假设检验、方差分析与回归分析等内容。全书分八章40节叙述，含例题250个，习题分节设立，共600道，插图100多幅。《概率论与数理统计教程》可供高等院校数学系与统计系与统计系作为教材使用，亦适合自学使用。

《统计推断(翻译版·原书第2版)》从概率论的基础开始，通过例子与习题的旁征博引，引进了大量近代统计处理的新技术和一些国内同类教材中不常见而又广为使用的分布。其内容既包括工科概率入门、经典统计和现代统计的基础，又加进了不少近代统计中数据处理的实用方法和思想，例如：Bootstrap再抽样法、刀切(Jackkrlife)估计、EM算法、Logistic回归、稳健(Robest)回归、Markov链、Monte Carlo方法等。它的统计内容与国内流行的教材相比，理论较深，模型较多，案例的涉及面要广，理论的应用面要丰富，统计思想的阐述与算法更为具体。《统计推断(翻译版·原书第2版)》可作为工科、管理类学科专业本科生、研究生的教材或参考书，也可供教师、工程技术人员自学之用。

《概率和鞅》是一部现代概率本科教程,内容生动,叙述严格,主要以离散时间的Doob鞅理论为框架,证明了Kolmogorov强大数定理和三级数理论以及通过运用特征函数的中心极限定理这些重要的结果。概率论作为一门应用学科已经广泛的应用于物理、工程、生物、经济以及社会科学等众多领域。

The standard rules of probability can be interpreted as uniquely valid principles in logic. In this book, E. T. Jaynes dispels the imaginary distinction between 'probability theory' and 'statistical inference', leaving a logical unity and simplicity, which provides greater technical power and flexibility in applications. This book goes beyond the conventional mathematics of probability theory, viewing the subject in a wider context. New results are discussed, along with applications of probability theory to a wide variety of problems in physics, mathematics, economics, chemistry and biology. It contains many exercises and problems, and is suitable for use as a textbook on graduate level courses involving data analysis. The material is aimed at readers who are already familiar with applied mathematics at an advanced undergraduate level or higher. The book will be of interest to scientists working in any area where inference from incomplete information is necessary.

《概率论与数理统计》内容包括初等概率计算、随机变量及其分布、数字特征、多维随机向量、极限定理、统计学基本概念、点估计与区间估计、假设检验、回归相关分析、方差分析等。书中选入了部分在理论和应用上重要，但一般认为超出本课程范围的材料，以备教者和学者选择。《概率论与数理统计》着重基本概念的阐释，同时，在设定的数学程度内，力求做到论述严谨。书中精选了百余道习题，并在书末附有提示与解答。《概率论与数理统计》可作为高等学校理工科非数学系的概率统计课程教材，也可供具有相当数学准备（初等微积分及少量矩阵知识）的读者自修之用。

《概率论沉思录(英文版)》将概率和统计推断融合在一起，用新的观点生动地描述了概率论在物理学、数学、经济学、化学和生物学等领域中的广泛应用，尤其是它阐述了贝叶斯理论的丰富应用，弥补了其他概率和统计教材的不足。全书分为两大部分。第一部分包括10章内容，讲解抽样理论、假设检验、参数估计等概率论的原理及其初等应用；第二部分包括12章内容，讲解概率论的高级应用，如在物理测量、通信理论中的应用。《概率论沉思录(英文版)》还附有大量习题，内容全面，体例完整。 《概率论沉思录(英文版)》内容不局限于某一特定领域，适合涉及数据分析的各领域工作者阅读，也可作为高年级本科生和研究生相关课程的教材。