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)

Accessible to graduate students and experimental physicists, this volume emphasizes physical arguments and minimizes theoretical formalism. Topics include the Bardeen-Cooper-Schrieffer and Ginzburg-Landau theories, magnetic properties of classic type II superconductors, the Josephson effect, fluctuation effects in classic superconductors, high-temperature superconductors, and n...(展开全部)

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)

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)

In Introduction to Economic Growth the only text in the field designed specifically for advanced undergraduates Charles I. Jones explains in clear, direct language how economists have come to understand the long-run growth of economies. Beginning with empirical evidence how rich are the rich countries, how poor are the poor, and how fast do the rich and poor countries grow? Pro...(展开全部)

About the Author Jonathan Katz is a professor of computer science at the University of Maryland, and director of the Maryland Cybersecurity Center. He has published over 100 articles on cryptography, and serves as an editor of the Journal of Cryptology, the premier journal of the field. Prof. Katz has been invited to give introductory lectures on cryptography for audiences in a...(展开全部)

The classic text for understanding complex statistical probability An Introduction to Probability Theory and Its Applications offers comprehensive explanations to complex statistical problems. Delving deep into densities and distributions while relating critical formulas, processes and approaches, this rigorous text provides a solid grounding in probability with practice proble...(展开全部)