约翰·黑格博士是英国苏塞克斯大学的数学和统计学高级讲师，同时也是皇家统计学学会的新闻发言人。其研究领域为应用概率论。代表作包括《把握机遇》、《差额赌博与固定赔率》、《彩票的统计分》等。

Ask the successful CEOs of major corporations, entrepreneurs, top salespeople, and pastors what characteristic is most needed for success in leadership positions, and they'll tell you-it's the ability to work with people. Some people are born with great relationship skills, but those who are not can learn to improve them. In Winning with People Maxwell has translated decades of...(展开全部)

This is a masterly introduction to the modern and rigorous theory of probability. The author adopts the martingale theory as his main theme and moves at a lively pace through the subject's rigorous foundations. Measure theory is introduced and then immediately exploited by being applied to real probability theory. Classical results, such as Kolmogorov's Strong Law of Large Numb...(展开全部)

Remarkable selection of puzzlers, graded in difficulty, that illustrate both elementary and advanced aspects of probability. Selected for originality, general interest or because they demonstrate valuable techniques, the problems are ideal as a supplement to courses in probability or statistics, or as stimulating recreation for the mathematically minded. Detailed solutions. Ill...(展开全部)

《赢》的内容涵盖从管理理念到管理实践的诸多方面。杰克·韦尔奇将自己全部的管理心得和智慧通过《赢)》与更多的管理者交流。从企业中泛滥而空洞的“使命”说起，谈到每家公司都会面临的危机管理，再到预算管理、员工招聘等诸多日常工作，韦尔奇逐一提出了自己独特而富有智慧的解决方案，并与广大读者分享了他作为成功管理者的思维方式。 作为“全球第一CEO”，韦尔奇不惜笔墨地总结了自己成功的职业生涯，为每一位职业经理人提供了极富建设性的意见和理念。 我们推荐企业高层管理者阅读《赢)》，因为你可以从中全面审视并深入思考自己的管理理念和方式、方法。 然而，《赢(第2版)》最为神奇的地方在于，无论你是财务人员，还是生产线上的技术工人；无论你是部门管理者，还是最基层的普通员工，《赢(》都将有利于你更好地了解你所在的工作环境，理解陌生部门的工作，甚至理解公司高层的指令和意图，进而帮...(展开全部)

When a doctor tells you thereÂs a one percent chance that an operation will result in your death, or a scientist claims that his theory is probably true, what exactly does that mean? Understanding probability is clearly very important, if we are to make good theoretical and practical choices. In this engaging and highly accessible introduction to the philosophy of probability, ...(展开全部)

This lively introduction to measure-theoretic probability theory covers laws of large numbers, central limit theorems, random walks, martingales, Markov chains, ergodic theorems, and Brownian motion. Concentrating on results that are the most useful for applications, this comprehensive treatment is a rigorous graduate text and reference. Operating under the philosophy that the ...(展开全部)