Statistical Inference by Casella and Berger is a rigorous and widely respected textbook that introduces the theory of statistical inference from both frequentist and Bayesian perspectives. The book covers essential topics such as point estimation, hypothesis testing, confidence intervals, and decision theory, with mathematical precision and thorough examples. Designed for upper-level undergradu…