一本经典的概率和统计书，英文PDF版。绝对值得珍藏！

Probability and Computing - Randomized Algorithms and Probabilistic Analysis中文版 作者Michael Mitzenmacher， Eli Upfal

Introduction to Probability, 2nd Edition by Dimitri P. Bertsekas and John N. Tsitsiklis, Athina Scientic Press, 2008, 本书的课后习题答案，深入学习很有用。

An introduction to probability theory and its applications 很重要的书籍，不用花那么多分儿

Copyright . 2019 by Cognella, Inc. All rights reserved. No part of this publication may be reprinted, reproduced, transmitted, or utilized in any form or by any electronic, mechanical, or other means, now known or hereafter invented, including photocopying, microfilming, and recording, or in any information retrieval system without the written permission of Cognella, Inc. For inquiries regarding permissions, translations, foreign rights, audio rights, and any other forms of reproduction, please contact the Cognella Licensing Department at rights@cognella.com. Trademark Notice: Product or corporate names may be trademarks or registered trademarks, and are used only for identification and explanation without intent to infringe. Cover image copyright. by Depositphotos / ikatod. Printed in the United States of America. 英文原版 超清

Henry Stark版的概率论，数理统计和随机过程，英文版，通信工程，电子电气工程基础课

英文原版教材，供需要查询回顾概率算法的编程人员使用。讲解细致，例题贴近实际。

Going beyond the conventional mathematics of probability theory, this study views the subject in a wider context. It discusses new results, along with applications of probability theory to a variety of problems. The book contains many exercises and is suitable for use as a textbook on graduate-level courses involving data analysis. Aimed at readers already familiar with applied mathematics at an advanced undergraduate level or higher, it is of interest to scientists concerned with inference from incomplete information. 本书将概率和统计推断融合在一起，用新的观点生动地描述了概率论在物理学、数学、经济学、化学和生物学等领域中的广泛应用，尤其是它阐述了贝叶斯理论的丰富应用，弥补了其他概率和统计教材的不足。全书分为两大部分。第一部分包括10章内容，讲解抽样理论、假设检验、参数估计等概率论的原理及其初等应用；第二部分包括12章内容，讲解概率论的高级应用，如在物理测量、通信理论中的应用。本书还附有大量习题，内容全面，体例完整。 　　本书内容不局限于某一特定领域，适合涉及数据分析的各领域工作者阅读，也可作为高年级本科生和研究生相关课程的教材。

大學生必備機率聖經 擁有它就不必花3百多買書

国外的一本概率论与数理统计中的反例,这些反例帮助澄清一些概率论与数理统计中的误会,从而更加地有助于概率论与数理统计的理解