Utilizes this principle as a bridge to transition students from population-based probability to sample-based statistical inference.
The 16-chapter, 496-page text provides a rigorous introduction covering probability, estimation, hypothesis testing, confidence intervals, ANOVA, and linear regression. Book Specifications An Introduction to Statistical Inference and It...
Features a dedicated section on the role of modern simulation in contemporary statistical inference. Detailed Content Breakdown Utilizes this principle as a bridge to transition
Moves away from "recipe-based" learning to focus on the fundamental assumptions and logic behind statistical methods. An Introduction to Statistical Inference and It...