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Generalized Additive Models for Location, Scale and Shape: A Distributional Regression Approach, with Applications - Hardcover
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Generalized Additive Models for Location, Scale and Shape: A Distributional Regression Approach, with Applications - Hardcover
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Generalized Additive Models for Location, Scale and Shape: A Distributional Regression Approach, with Applications - Hardcoverby Mikis D. Stasinopoulos (Author), Thomas Kneib (Author), Nadja Klein (Author) An emerging field in statistics, distributional regression facilitates the modelling of the complete conditional distribution, rather than just the mean. This book introduces generalized additive models for location, scale and shape (GAMLSS) one of the most important classes of distributional regression. Taking a broad perspective, the authors consider penalized likelihood
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Generalized Additive Models for Location, Scale and Shape: A Distributional Regression Approach, with Applications - Hardcover
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