经典的一本概率论书籍, 由Springer出版，基本囊括所有概率的基础

Python for Probability,Statistics,and Machine Learning.pdf Python for Probability,Statistics,and Machine Learning.pdf

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, computer science, management science, the physical and social sciences, and operations research. With the addition of several new sections relating to actuaries, this text is highly recommended by the Society of Actuaries. A new section (3.7) on COMPOUND RANDOM VARIABLES, that can be used to establish a recursive formula for computing probability mass functions for a variety of common compounding distributions. A new section (4.11) on HIDDDEN MARKOV CHAINS, including the forward and backward approaches for computing the joint probability mass function of the signals, as well as the Viterbi algorithm for determining the most likely sequence of states. Simplified Approach for Analyzing Nonhomogeneous Poisson processes Additional results on queues relating to the (a) conditional distribution of the number found by an M/M/1 arrival who spends a time t in the system,; (b) inspection paradox for M/M/1 queues (c) M/G/1 queue with server breakdown Many new examples and exercises.

Introduction to probability and statistics 概率与统计的入门书籍，适合自学

Written by three veteran statisticians, this applied introduction to probability and statistics emphasizes the existence of variation in almost every process, and how the study of probability and statistics helps us understand this variation. Designed for students with a background in calculus, this book continues to reinforce basic mathematical concepts with numerous real-world examples and applications to illustrate the relevance of key concepts.

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PROBABILITY THEORY THE LOGIC OF SCIENCE Author: E. T. Jaynes

SDMA 阻塞率的仿真实现 主要介绍了FD 和 DL 的阻塞率Erlang源代码

亲测好用，挺不错的资源，大家快来下载吧！挺有用的！需要的话可以来下载哦！网上大部分后面没有答案，这个是很全的 (Solution Manual)Probability and Statistics,4th Edition by Morris H. Degroot

very excellent book for people who just start learning probability theory. it uses plain english, it is easy to understand.