This book describes an array of power tools for data analysis that are based on nonparametric regression and smoothing techniques. These methods relax the linear assumption of many standard models and allow analysts to uncover structure in the data that might otherwise have been missed. While Mc Cullagh and Nelder”s Generalized Linear Models shows how to extend the usual linear methodology to cover analysis of a range of data types, Generalized Additive Models enhances this methodology even further by incorporating the flexibility of nonparametric regression. Clear prose, exercises in each chapter, and case studies enhance this popular text.
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स्वरूप PDF ● पेज 352 ● ISBN 9781351445979 ● प्रकाशक CRC Press ● प्रकाशित 2017 ● डाउनलोड करने योग्य 3 बार ● मुद्रा EUR ● आईडी 5465248 ● कॉपी सुरक्षा Adobe DRM
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