書名: Introduction to Probability & Statistics for Engineers & Scientists (5版)
作者: Ross
版次: 5
ISBN: 9789869684569
出版社: Academic Press(AP)
出版日期: 2017/11
重量: 1.26 Kg
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售價: 1451
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書名:Introduction to Probability & Statistics for Engineers & Scientists 5/e 作者:Ross 出版社:Elservier 出版日期:2018/08/00 ISBN:9789869684569 內容簡介 ntroduction to Probability and Statistics for Engineers and Scientists, Fifth Edition is a proven text reference that provides a superior introduction to applied probability and statistics for engineering or science majors. The book lays emphasis in the manner in which probability yields insight into statistical problems, ultimately resulting in an intuitive understanding of the statistical procedures most often used by practicing engineers and scientists. Real data from actual studies across life science, engineering, computing and business are incorporated in a wide variety of exercises and examples throughout the text. These examples and exercises are combined with updated problem sets and applications to connect probability theory to everyday statistical problems and situations. The book also contains end of chapter review material that highlights key ideas as well as the risks associated with practical application of the material. Furthermore, there are new additions to proofs in the estimation section as well as new coverage of Pareto and lognormal distributions, prediction intervals, use of dummy variables in multiple regression models, and testing equality of multiple population distributions. This text is intended for upper level undergraduate and graduate students taking a course in probability and statistics for science or engineering, and for scientists, engineers, and other professionals seeking a reference of foundational content and application to these fields. 目錄 Ch1 Introduction to Statistics Ch2 Descriptive Statistics Ch3 Elements of Probability Ch4 Random Variables and Expectation Ch5 Special Random Variables Ch6 Distributions of Sampling Statistics Ch7 Parameter Estimation Ch8 Hypothesis Testing Ch9 Regression Ch10 Analysis of Variance Ch11 Goodness of Fit Tests and Categorical Data Analysis Ch12 Nonparametric Hypothesis Tests Ch13 Quality Control Ch14 LifeTesting Ch15 Simulation, Bootstrap Statistical Methods, and Permutation Tests

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