ISE STATISTICS FOR ENGINEERS AND SCIENTISTS - William Navidi
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Présentation Ise Statistics For Engineers And Scientists de William Navidi Format Broché
- Livres
Résumé : Statistics for Engineers and Scientists stands out for its crystal clear presentation of applied statistics. The book takes a practical approach to methods of statistical modeling and data analysis that are most often used in scientific work. This edition features a unique approach highlighted by an engaging writing style that explains difficult concepts clearly, along with the use of contemporary real world data sets, to help motivate students and show direct connections to industry and research. While focusing on practical applications of statistics, the text makes extensive use of examples to motivate fundamental concepts and to develop intuition. McGraw-Hill Education's Connect is also available. Connect is the only integrated learning system that empowers students by continuously adapting to deliver precisely what they need, when they need it, how they need it, so that class time is more effective. Connect allows the professor to assign homework, quizzes, and tests easily and automatically grades and records the scores of the student's work. Problems are randomized to prevent sharing of answers an may also have a multi-step solution which helps move the students' learning along if they experience difficulty.
Biographie:
William Navidi received a B.A. in mathematics from New College, an M.A in mathematics from Michigan State University, and a Ph.D. in statistics from the University of California at Berkeley. Dr. Navidi is a professor of applied mathematics and statistics at the Colorado School of Mines in Golden, Colorado. He began his teaching career at the County College of Morris in Dover, New Jersey. He has taught mathematics and statistics at all levels, from developmental through the graduate level. Dr. Navidi has written two engineering statistics textbooks for McGraw-Hill and has authored more than 50 research papers, both in statistical theory and in a wide variety of applications, including computer networks, epidemiology, molecular biology, chemical engineering, and geophysics.
Sommaire: 1) Sampling and Descriptive Statistics 2) Probability 3) Propagation of Error 4) Commonly Used Distributions 5) Confidence Intervals 6) Hypothesis Testing 7) Correlation and Simple Linear Regression 8) Multiple Regression 9) Factorial Experiments 10) Statistical Quality Control Appendix A - Tables Appendix B - Partial Derivatives Appendix C - Bibliography Answers to Odd-Numbered Exercises Index
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