توضیحات
Applied Regression Modeling provides a comprehensive guide to using regression analysis for understanding relationships between variables and making predictions. It covers linear and nonlinear regression, model selection, diagnostics, multicollinearity, interaction effects, and validation techniques. With practical examples and case studies, the book emphasizes interpreting results accurately and applying regression models effectively in fields such as business, healthcare, engineering, and social sciences.
نقد و بررسیها
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