Regression Techniques for Data Analysis
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Beschreibung
This volume explores regression analysis as the backbone of statistical modeling, offering readers a versatile and robust framework for analyzing relationships in data. From foundational linear models to more complex non-linear, generalized linear, mixed, and nonparametric approaches, this volume provides a comprehensive toolkit for real-world applications.
Designed for both first-time learners and experienced analysts seeking a refresher, the book emphasizes model diagnostics, interpretation, and predictive accuracy. Its intuitive explanations, paired with hands-on examples, make it ideal for students studying for exams, professionals updating their skills, or researchers applying models in practice.
With applications across marketing analytics, financial forecasting, and management science, this volume bridges theory and practice to support data-driven decision-making in diverse fields.
This volume explores regression analysis as the backbone of statistical modeling, offering readers a versatile and robust framework for analyzing relationships in data. From foundational linear models to more complex non-linear, generalized linear, mixed, and nonparametric approaches, this volume provides a comprehensive toolkit for real-world applications.
Designed for both first-time learners and experienced analysts seeking a refresher, the book emphasizes model diagnostics, interpretation, and predictive accuracy. Its intuitive explanations, paired with hands-on examples, make it ideal for students studying for exams, professionals updating their skills, or researchers applying models in practice.
With applications across marketing analytics, financial forecasting, and management science, this volume bridges theory and practice to support data-driven decision-making in diverse fields.
Gives a complete treatment of regression techniques Has a practical focus on model diagnostics and performance Provides a toolkit for applications in marketing, finance, and business
Autor*in
Mike Nguyen
Themen in »Regression Techniques for Data Analysis«
Linear Models Nonlinear Regression Generalized Linear Models Linear Mixed Models Nonlinear Mixed Models Generalized Linear Mixed Models GLMs Model Diagnostics Predictive Modeling Marketing Analytics Financial Modeling Mixed Models Nonparametric Regression Business Statistics