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DTSA 5013 GLM and Nonparametric Regression Class Notes DTSA 5013 GLM and Nonparametric Regression Class Notes · Class notes from UC Boulder MS Data Science Class - taught by professor Brian Zaharatos · 4 stories on Medium
Data Science Online (DTSA) Introduction to methods, theory, and applications of linear statistical models, covering the topics of parameter estimation, residual diagnostics, goodness of fit, and various strategies for variable selection and model comparison
Generalized Linear Models Second Edition DTSA 5013 Generalized Linear Models and Nonparametric Regression In this module, we will introduce generalized linear models (GLMs) through the study of binomial data
Applied Linear Regression Models 4 Th Edition While firmly rooted in linear regression, the book also touches on extensions such as generalized linear models and polynomial regression These discussions introduce readers to broader modeling frameworks, preparing them for advanced statistical challenges