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This is the third book in a series designed to take the reader from statistical foundations to advanced, applied data analysis. The first volume laid the groundwork: descriptive statistics, basic inference, and the conceptual tools necessary for understanding variation, uncertainty, and evidence. The second took those principles into the realm of regression modeling, covering linear models, nonlinear relationships, and the flexible architecture of generalized and mixed effects models.

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Introduction

  • 章节

  • 发表日期：

    2025年

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  • Mike Nguyen

摘要

This is the third book in a series designed to take the reader from statistical foundations to advanced, applied data analysis. The first volume laid the groundwork: descriptive statistics, basic inference, and the conceptual tools necessary for understanding variation, uncertainty, and evidence. The second took those principles into the realm of regression modeling, covering linear models, nonlinear relationships, and the flexible architecture of generalized and mixed effects models.