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.
The first approach is employed in this text. The book begins by introducing basic concepts of probability theory, such as the random variable, conditional probability, and conditional expectation.
Introduction to Probability Models, Student Solutions Manual (e-only)
This important text: Includes classroom-tested problems and solutions to probability exercises Highlights real-world exercises designed to make clear the concepts presented Uses Mathematica software to illustrate the text’s computer ...
With the addition of several new sections relating to actuaries, this text is highly recommended by the Society of Actuaries.
This strategy was first articulated by Kelly (1956). Breiman (1961) showed that if you want to maximise the long-term growth rate, or to minimise the mean time to reach a desired level of capital, you cannot improve on betting a ...
Introduction To Probability Models
This is the currently used textbook for an introductory probability course at the Massachusetts Institute of Technology, attended by a large number of undergraduate and graduate students, and for a leading online class on the subject.
Concise advanced-level introduction to stochastic processes that arise in applied probability. Poisson process, renewal theory, Markov chains, Brownian motion, much more. Problems. References. Bibliography. 1970 edition.
本书主要内容有随机变量,条件期望,马尔可夫链,指数分布,泊松过程,平稳过程,更新理论及排队论等,也包括了随机过程在物理,生物,运筹,网络,遗传,经济,保险,金融及可靠性中的应用.
Reviews fundamental concepts and applications of probability and statistics. After a general overview, it considers special types of random variables, using examples which illustrate their wide variety of applications. Also...