Probability and Statistics for Engineers and Scientists (4版)

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書名：Probability and Statistics for Engineers and Scientists 4/e 作者：HAYTER 出版社：Cengage 出版日期：2013/00/00 ISBN：9781111827045 內容簡介 ●Composition of the book allows flexibility in the order in which the material is taught. The material has been divided into four sections based on probability (Chapters 1-5), basic statistics (Chapters 6-10), advanced statistical methodologies (Chapters 11-14), and additional topics (Chapters 15-17). The Preface offers suggested paths that instructors may follow based on topic preference, making the book ideal for departments in which different methods of teaching coexist. ●This book can also serve as a handbook of statistical methodologies for undergraduate and graduate engineering students. ●Answers to all odd-numbered problems from the end-of-chapter sections are provided at the back of the book. ●Worked examples (77) and more than 150 data sets represent the many different areas of engineering; for instance, civil, mechanical, electrical, industrial, aerospace, biomedical, textile, chemical, and computing. ●Dozens of graphs, along with graphical tools, help students learn concepts visually. ●To help students grasp concepts, each topic is introduced with references to several real examples from engineering and the sciences. After the topic has been developed technically, a highlighted box reinforces students' learning by summarizing the important points. ●Many examples illustrate proper application of new methodologies, and are developed throughout the chapters as increasingly sophisticated methodologies are considered. This allows students to build on their learning in a manageable way, and understand connections among methodologies. ●Computer Note sections offer tips for using various software packages to perform analysis of data sets, which are referenced in the text and available for download from the book's website. ●The applied presentation emphasizes the understanding of underlying concepts and the application of statistical methodologies. 目錄 1. PROBABILITY THEORY. 2. RANDOM VARIABLES. 3. DISCRETE PROBABILITY DISTRIBUTIONS. 4. CONTINUOUS PROBABILITY DISTRIBUTIONS. 5. THE NORMAL DISTRIBUTION. 6. DESCRIPTIVE STATISTICS. 7. STATISTICAL ESTIMATION AND SAMPLING DISTRIBUTIONS. 8. INFERENCES ON A POPULATION MEAN. 9. COMPARING TWO POPULATION MEANS. 10. DISCRETE DATA ANALYSIS. 11. THE ANALYSIS OF VARIANCE. 12. SIMPLE LINEAR REGRESSION AND CORRELATION. 13. MULTIPLE LINEAR REGRESSION AND NONLINEAR REGRESSION. 14. MULTIFACTOR EXPERIMENTAL DESIGN AND ANALYSIS. 15. NONPARAMETRIC STATISTICAL ANALYSIS. 16. QUALITY CONTROL METHODS. 17. RELIABILITY ANALYSIS AND LIFE TESTING. Answers to Odd-Numbered Problems.

STATISTICS AND PROBABILITY WITH APPLICATIONS FOR ENGINEERS AND SCIENTISTS USING MINITAB, R AND JMP, SECOND EDITION 2020 <JW> (2版)

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【簡介】 Introduces basic concepts in probability and statistics to data science students, as well as engineers and scientists Aimed at undergraduate/graduate-level engineering and natural science students, this timely, fully updated edition of a popular book on statistics and probability shows how real-world problems can be solved using statistical concepts. It removes Excel exhibits and replaces them with R software throughout, and updates both MINITAB and JMP software instructions and content. A new chapter discussing data mining―including big data, classification, machine learning, and visualization―is featured. Another new chapter covers cluster analysis methodologies in hierarchical, nonhierarchical, and model based clustering. The book also offers a chapter on Response Surfaces that previously appeared on the book’s companion website. Statistics and Probability with Applications for Engineers and Scientists using MINITAB, R and JMP, Second Edition is broken into two parts. Part I covers topics such as: describing data graphically and numerically, elements of probability, discrete and continuous random variables and their probability distributions, distribution functions of random variables, sampling distributions, estimation of population parameters and hypothesis testing. Part II covers: elements of reliability theory, data mining, cluster analysis, analysis of categorical data, nonparametric tests, simple and multiple linear regression analysis, analysis of variance, factorial designs, response surfaces, and statistical quality control (SQC) including phase I and phase II control charts. The appendices contain statistical tables and charts and answers to selected problems. Features two new chapters―one on Data Mining and another on Cluster Analysis Now contains R exhibits including code, graphical display, and some results MINITAB and JMP have been updated to their latest versions Emphasizes the p-value approach and includes related practical interpretations Offers a more applied statistical focus, and features modified examples to better exhibit statistical concepts Supplemented with an Instructor's-only solutions manual on a book’s companion website Statistics and Probability with Applications for Engineers and Scientists using MINITAB, R and JMP is an excellent text for graduate level data science students, and engineers and scientists. It is also an ideal introduction to applied statistics and probability for undergraduate students in engineering and the natural sciences. Read less 【目錄】

Applied Statistics and Probability for Engineers (7版)

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書名：Applied Statistics and Probability for Engineers 7/e Asia Edition 作者：Montgomery 出版社：WILEY 出版日期：2019/00/00 ISBN：9781119718871 內容簡介 ●New and expanded interactive features available in both WileyPLUS and the Interactive eText ●Over 100 video-based examples and problem walk-throughs. ●Check Your Understanding exercises are placed at the appropriate places in the eTextbook inside the WileyPLUS course. These simple practice exercises give students just-in-time reading comprehension self-assessment, perfect for assigning as a pre-lecture exercise. ●Video Lectures: Video lectures provide explanations of key course concepts. 內容簡介 1 The Role of Statistics in Engineering 2 Probability 3 Discrete Random Variables and Probability Distributions 4 Continuous Random Variables and Probability Distributions 5 Joint Probability Distributions 6 Descriptive Statistics 7 Point Estimation of Parameters and Sampling Distributions 8 Statistical Intervals for a Single Sample 9 Tests of Hypotheses for a Single Sample 10 Statistical Inference for Two Samples 11 Simple Linear Regression and Correlation 12 Multiple Linear Regression 13 Design and Analysis of Single-Factor Experiments: The Analysis of Variance 14 Design of Experiments with Several Factors 15 Statistical Quality Control APPENDIX A Statistical Tables and Charts APPENDIX B Bibliography APPENDIX C Summary of Confidence Intervals and Hypothesis Testing Equations for One and Two Sample Applications