Casella and Berger's "Statistical Inference"

Casella and Berger's "Statistical Inference" is a foundational textbook that explains how to draw meaningful conclusions from data. It covers methods for estimating unknown quantities, testing hypotheses, and making predictions. The book emphasizes understanding the underlying principles of probability and statistics to ensure that inferences are valid and reliable. It combines theoretical concepts with practical examples, helping readers develop rigorous approaches for analyzing real-world data, such as in medicine, economics, and science. Overall, it aims to provide a clear framework for making informed decisions based on statistical evidence.