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Offers detailed descriptions of non-linear regression fitting, methods, and approaches relevant to 'real world' situations, and extensive applications of predictive models. This book explores important developing areas, including specific applications, challenges in applying models to foods, variability and uncertainly, and modeling strategies.
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