Statistical Inference(2nd edition)
Authors:
George Casella, Roger L. Berger
In Stock: 2 Left
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Solution Manual Includes
Price:
$9.99
Book details
ISBN: 0534243126, 978-0534243128
Book publisher: Cengage Learning
Book Price $0 : Statistical Inference by George Casella and Roger L. Berger, in its comprehensive second edition, stands as a fundamental text in the field of statistics, widely regarded for its in-depth exploration of probability theory and statistical inference. It introduces readers to core concepts such as hypothesis testing, estimation theory, and Bayesian inference, while meticulously balancing theoretical foundations with practical application. The book delves into methodologies like maximum likelihood estimation and introduces readers to advanced statistical tools, including the Neyman-Pearson lemma and the Central Limit Theorem. Each chapter is thoughtfully constructed, guiding students from basic principles to more complex ideas, equipped with a detailed table of content that makes navigation intuitive. Moreover, the inclusion of a solution manual and an accompanying answer key enhances the learning experience by providing students with immediate feedback on exercises, facilitating better comprehension of intricate statistical concepts. This textbook, through its rigorous problem sets and examples, equips students with the skills to perform real-world data analysis, bridging the gap between theoretical learning and practical application. The book has received positive reception for its clarity and depth, making it an essential resource for students and professionals alike. Its widespread use in academia underscores its influence and utility in advancing one’s statistical acumen, ensuring a strong grounding in both classical and modern inference techniques. The cheap tricks shared here help students tackle difficult problems without spending a fortune.
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