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Probability and Mathematical Statistics (Second Edition)
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Higher Education Pub. Date :2007-4-1, 2007
ISBN 10: 7040207419
ISBN 13: 9787040207415
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Seller: liu xing, Nanjing, JS, China
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paperback. Condition: New. Ship out in 2 business day, And Fast shipping, Free Tracking number will be provided after the shipment.Pages Number: 295 Publisher: Higher Education Pub. Date :2007-4-1. This book is a general higher education. Eleventh Five-Year national planning materials. First edition is based on engineering colleges probability theory and mathematical statistics courses section class (less probability. statistics and more) teaching the basic requirements of written reference to the second edition of the latest revision of probability theory and mathematical statistics courses teaching the basic requirements for amendments. but still retains a small probability. statistics and more features. The first four chapters are the basic contents of the probability theory. number theory. mathematical statistics to prepare the necessary foundation; after Chapter 5 focuses on the analysis of probability theory describes how to use statistical methods to analyze and solve practical problems with randomness. Two parts with the close. The end of each chapter is a comprehensive example of the use of the comprehensive theory and methods to solve the problem chapter examples. Book to explain clearly the text fluent; content arrangement focused and difficult scattered. Deep. easy to accept; using statistical methods for the probability characteristics of random variables to the basic idea of ??scientific inference. inference method. thorough. coherent approach summarized . This book can serve as the professional colleges of engineering undergraduate teaching materials or reference books. Contents: Chapter random events and their probability of 1.1 1.2 the sample space of random events and random events the probability of the frequency and nature of 1.3 the definition of the classical probability model the probability of the conditional probability of 1 4 multiplication formula 1.5 1.6 the independence of random events Bo Bernoulli probability model 1.7 Example Problem a comprehensive chapter distributed random variables and their concept of a random variable 2.1 2.2 2.3 discrete random variable Poisson binomial distribution of the hypergeometric distribution 2.4 2.5 a continuous random variable uniformly distributed index distributedFour Satisfaction guaranteed,or money back. Seller Inventory # L84528
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