Overview: All twelve chapters greatly revised with six chapters extensively expanded and updated.Primarily covers classical data analysis methods while also treating machine learning and data mining methods.Inc.Now in a thoroughly revised and expanded second edition, this classroom-tested text demonstrates and illustrates how to apply concepts and methods learned in disparate courses such as mathematical modeling, probability, statistics, experimental design, regression, optimization, parameter estimation, inverse modeling, risk analysis, decision-making, and sustainability assessment methods
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