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Illustrates the use of probabilistic models and statistical methodology for applications in science and engineering. Emphasizing methodology, while not entirely neglecting theory, chapters introduce students to random variables and probability distributions, discrete and continuous probability distributions, functions of random variables, sampling distributions and data descriptions, one- and two-sample estimation problems, simple linear regression and correlation, multiple linear regression, certain nonlinear regression models, multiple factorial experiments, nonparametric statistics, and statistical quality control. Annotation c. Book News, Inc., Portland, OR (booknews.com) More Reviews and Recommendations Tags: probability and statistics for engineers and scientists |
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