FLEXIBLE REGRESSION AND SMOOTHING USING GAMLESS IN R Biology Written by global experts from
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Written by global experts from leading institutions
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model answers and a chapter devoted to assessment guidance
FLEXIBLE REGRESSION AND SMOOTHING USING GAMLESS IN R Biology Written by global experts fromFeatures Provides a broad overview of flexible regression and smoothing techniques to learn from data whilst also focusing on the practical application of methodology using GAMLSS software in R. Includes a comprehensive collection of real data examples, which reflect the range of problems addressed by GAMLSS models and provide a practical illustration of the process of using flexible GAMLSS models for statistical learning. R code integrated into the
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