Ross's classic bestseller, Introduction to Probability Models, has been used extensively by professionals and as the primary text for a first undergraduate course in applied probability. It provides an introduction to elementary probability theory and stochastic processes, and shows how probability theory can be applied to the study of phenomena in fields such as engineering,...(展开全部)

Developed from celebrated Harvard statistics lectures, Introduction to Probability provides essential language and toolsfor understanding statistics, randomness, and uncertainty. The book explores a wide variety of applications and examples, ranging from coincidences and paradoxes to Google PageRank and Markov chain Monte Carlo (MCMC). Additional application areas explored incl...(展开全部)

Assuming no prior knowledge of linguistics, AN INTRODUCTION TO LANGUAGE, Tenth Edition, is appropriate for a variety of fields--including education, languages, psychology, cognitive science, anthropology, English, and teaching English as a Second Language (TESL)--at both the undergraduate and graduate levels. This completely updated edition retains the clear descriptions, humor...(展开全部)

Dimitri P. Bertsekas，美国工程院院士，IEEE会士。1971年获MIT电子工程博士学位。长期在MIT执教，曾获得2001年度美国控制协会 J. Ragazzini 教育奖。研究领域涉及优化、控制、大规模计算、数据通信网络等，许多研究具有开创性贡献。著有 Nonlinear Programming 等十余部教材和专著，其中许多被MIT等名校用作研究生或本科生教材。 John N. Tsitsiklis，美国工程院院士，IEEE会士，MIT教授。分别于1980年、1981年、1984年在MIT获得学士、硕士、博士学位。已发表学术论文上百篇。

An intuitive, yet precise introduction to probability theory, stochastic processes, and probabilistic models used in science, engineering, economics, and related fields. The 2nd edition is a substantial revision of the 1st edition, involving a reorganization of old material and the addition of new material. The length of the book has increased by about 25 percent. The main new ...(展开全部)

Professor Ito is one of the most distinguished probability theorists in the world, and in this modern, concise introduction to the subject he explains basic probabilistic concepts rigorously and yet gives at the same time an intuitive understanding of random phenomena. In the first chapter he considers finite situations, but from an advanced standpoint that enables the transiti...(展开全部)

约翰·比奈尔 （John P. J. Pinel） 《生物心理学》的作者，在蒙特利尔的麦吉尔大学获得博士学位，在麻省理工学院短期工作后取得温哥华英属哥伦比亚大学教员职位，目前他是该学校的荣誉退休教授。比奈尔教授是一名备受赞誉的教师，也是200多篇科学论文的作者。然而，他觉得《生物心理学》才是他与职业生涯相关的主要成就：“它将与我职业有关的所有挚爱：学生、教学、写作和研究都联系在一起。” 比奈尔把他的许多成就归功于他的妻子——玛吉（Maggie）。她在不同的时期分别是专业的艺术家、设计师和私人教练。多年来，他们在很多项目上都有合作，《生物心理学》中高质量的插图在很大程度上得益于她的专业和努力。 译者简介 杨莉 现任华南师范大学心理学院及脑科学研究院教授，博导。中国心理学会生理心理学分会委员，广东省脑发育与脑疾病防治学会常务理事，广东省神经科学学会理事。...(展开全部)