Applied Statistics and Probability for Engineers -
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Présentation Applied Statistics And Probability For Engineers de Collectif Format Broché
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Résumé :
The text provides a practical approach oriented to engineering as well as chemical and physical sciences. Students learn how the material will be relevant in their careers through the integration throughout of unique problem sets that reflect realistic applications and situations. Applied Statistics, 6th Edition is suitable for either a one- or two-term course in probability and statistics.
Biographie:
Douglas C. Montgomery, Regents' Professor of Industrial Engineering and Statistics at Arizona State University, received his B.S., M.S., and Ph.D. degrees from Virginia Polytechnic Institute, all in engineering. From 1969 to 1984, he was a faculty member of the School of Industrial & Systems Engineering at the Georgia Institute of Technology; from 1984 to 1988, he was at the University of Washington, where he held the John M. Fluke Distinguished chair of Manufacturing Engineering, was Professor of Mechanical Engineering, and Director of the Program in industrial Engineering. He has authored and coauthored many technical papers as well as twelve other books. Dr. Montgomery is a Stewart Medalist of the American Society for Quality, and has also received the Brumbaugh Award, the William G. Hunter Award, and the Shewell Award (twice) from the ASQ.
Sommaire:
Chapter 1 The Role of Statistics in Engineering Chapter 2 Probability Chapter 3 Discrete Random Variables and Probability Distributions Chapter 4 Continuous Random Variables and Probability Distributions Chapter 5 Joint Probability Distributions Chapter 6 Descriptive Statistics Chapter 7 Sampling Distributions and Point Estimation of Parameters Chapter 8 Statistical Intervals for a Single Sample Chapter 9 Tests of Hypotheses for a Single Sample Chapter 10 Statistical Inference for Two Samples Chapter 11 Simple Linear Regression and Correlation Chapter 12 Multiple Linear Regression Chapter 13 Design and Analysis of Single-Factor Experiments: The Analysis of Variance Chapter 14 Design of Experiments with Several Factors Chapter 15 Statistical Quality Control Appendices
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