This front matter contains the contents, series preface, preface, acknowledgments, nomenclature, and symbols. This book details methods of nonlinear regression, computational algorithms, model validation, interpretation of residuals, and useful experimental design. The focus is on practical applications, with relevant methods supported by fundamental analysis. This book will assist either the academic or industrial practitioner to properly classify the system, choose between the various available modeling options and regression objectives, design experiments to obtain data capturing critical system behaviors, fit the model parameters based on that data, and statistically characterize the resulting model. eBook keywords: nonlinear regression, computational algorithms, model validation, experimental design, practical applications, fundamental analysis, crtitical system behaviors, process improvement, model terminology, and logistic distribution.

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