Here is the listing of Best reference books on Introduction to Probability and Random Processes.
|1. “Conditional Independence in Applied Probability” by P. Pfeiffer
Book Review: The book demonstrates various theories and applications that are needed for a thorough understanding of probability. The book contains many exercises and real life examples in the fields of biology, computer science, cryptology, ecology, public health, sports and many more. The book stresses more on simulation and demonstrates computational and theoretical results. The book contains chapters on conditional probability, independent trials, random variables, discrete and continuous distributions, continuous probability and many more. The book also contains many problems of probability and numerous practical examples. This book is suitable for undergraduate courses in the field of probability.
|2. “Probability and computing: Randomized Algorithms and Probabilistic Analysis” by Mitzenmacher and E. Upfal|
|3. “Introduction to Probability” by D Bertsekas and J. Tsitsiklis
Book Review: This book provides very nice introduction to probability theory, stochastic processes and probabilistic models used in the field of science, engineering, economics and many other fields. This book is a very good textbook on probability at the graduate and undergraduate levels. The book covers the basics of probability theory which include probabilistic models, discrete and continuous random variables, limit theorems, least squares estimation, bivariate normal distribution, Bernoulli, Poisson and Markov processes and many more.
Sanfoundry Global Education & Learning Series – Best Reference Books!