Probability and Random Processes

This book includes the probability of events, discrete random variables and their distribution, continuous random variables and their distribution, digital characteristics of random variables, law of large numbers and central limit theorem, sampling distribution, parameter estimation and hypothesis testing.All of the authors of this book have the background of visiting British and American university. The writing language is easy to understand, and the content has moderate difficulty.This book can be used for the teaching of probability and statistics courses of Sino-foreign cooperation projects and foreign student programs in universities of science and engineering (non-mathematics majors), as well as bilingual teaching of probability and statistics.本書內容包括事件的概率、離散型隨機變量及其分佈、連續型隨機變量及其分佈、隨機變量的數字特徵、大數定律與中心極限定理、抽樣分佈、參數估計和假設檢驗。本書編著者均有英美訪學背景，英文語言簡單易懂，寫作簡約，內容難易適中，便於學習。本書可供理工科大學(非數學專業)中外合作辦學項目和留

How dangerous is our diet? How much in sports comes down to luck? When authorities pronounce that a given event is "highly likely"--well, how likely is that, really? Our lives are riddled with risk and uncertainty, and renowned statistician David Spiegelhalter has spent his career crunching data to decode the seemingly random events that define our experiences, as well as the numerous decisions we each make in the face of imperfect knowledge. In The Art of Uncertainty, he illuminates how all of us can do this better. Revealing the principles of probability--a field that informs everything from annuities to pandemics and climate change--he shows how we can measure our confidence, better evaluate cause and effect, and update our beliefs about the future in the face of constantly changing experience. Drawing on fascinating real-world examples, this is an essential guide to navigating uncertainty in a world that makes it inevitable.