Statistical Methods in Chemical Engineering

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An introduction to basic and intermediate statistical, probabilistic, and data analysis methods in engineering: probability functions and their properties, sampling distributions and limits, data collection and statistical inference, hypothesis testing, design of experiments, maximum likelihood and Bayesian methods, linear regression and regularization techniques, nonlinear regression, classification methods, error analysis and model assessment/validation, clustering and data reduction.