Regression Modeling for Linguistic Data by Sonderegger, Morgan
66,02 €
Sonderegger begins with preliminaries to regression modeling- assumptions, inferential statistics, hypothesis testing, power, and other errors. He then covers regression models for non-clustered data- linear regression, model selection and validation, logistic regression, and applied topics such as contrast coding and nonlinear effects.
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