"Statistics for Engineers and Scientists" stands out for its crystal clear presentation of applied statistics. Suitable for a one or two semester course, the book takes a practical approach to methods of statistical modeling and data analysis that are most often used in scientific work. "Statistics for Engineers and Scientists" 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.
Table of Contents
Chapter 1: Sampling and Descriptive Statistics Chapter 2: Probability Chapter 3: Propagation of Error Chapter 4: Commonly Used Distributions Chapter 5: Confidence Intervals Chapter 6: Hypothesis Testing Chapter 7: Correlation and Simple Linear Regression Chapter 8: Multiple Regression Chapter 9: Factorial Experiments Chapter 10: Statistical Quality Control A Tables B Partial Derivatives C Suggestions for Further Reading Answers to Selected Exercises
Ph.D. 1986, University of California at Berkeley Courses Offered, Spring 2001: MACS 323:Probability and Statistics for Engineers MACS 535: Mathematical Statistics I Current Research Projects: Variability in Permeability Coefficients with Annette Bunge, Department of Chemical Engineering and Petroleum Refining Estimating Data Uncertainties in Geophysical Inverse Problems with John Scales, Department of Geophysics Development of Geocasting Protocols for a Mobile Area Network with Tracy Camp, Department of Mathematical and Computer Sciences Efficient Methods for Case-Control Sampling