Statistical Inference (2nd Edition) + Solution Manual

Statistical Inference (2nd Edition) + Solution Manual

Author: George Casella, Roger L. Berger
Binding: Paperback
Paper Quality: Black White Paper
Category: Statistics / Mathematics / Research
Recommended For: MSc/PhD students, statisticians, and researchers in mathematics, economics, engineering, and the physical sciences who seek a deep understanding of theoretical statistics.

Key Points

• Rigorous Theoretical Foundation – Offers comprehensive coverage of statistical theory, including estimation, hypothesis testing, sufficiency, and decision theory.

• Advanced Mathematical Treatment – Ideal for readers with a strong background in probability and mathematical statistics.

• Balanced Approach – Integrates intuitive explanations with mathematical rigor and formal proofs.

• Wide Range of Topics – Includes likelihood methods, Bayesian inference, nonparametric methods, and asymptotic theory.

• Solution Manual Included – Provides detailed, step-by-step solutions to selected textbook problems, making it an excellent tool for self-study or instructors.

• Academic Standard – Widely used in graduate statistics programs globally; considered a gold standard in statistical theory.

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Writer                 ✤          George Casella (Author), Roger L. Berger (Author)