Bayesian Data Analysis(2nd Edition)
Authors:
Andrew Gelman, John B. Carlin, Hal S. Stern, Donald B. Rubin
In Stock: 1 Left
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Solution Manual Includes
Price:
$9.99
Book details
ISBN: 158488388X, 978-1584883883
Book publisher: Chapman And Hall/CRC
Book Price $0 : Bayesian Data Analysis, authored by Andrew Gelman, John B. Carlin, Hal S. Stern, and Donald B. Rubin, is an authoritative text that has profoundly influenced the realm of statistical analysis. This second edition delves into Bayesian methods, offering a comprehensive exploration of theory and practical application. The book is structured to progress from basics to advanced topics, making it a crucial resource for both beginners and seasoned analysts. A detailed table of content guides readers through Bayesian inference, prior distributions, and model checking. The integration of Markov Chain Monte Carlo (MCMC) methods, hierarchical models, and predictive models exemplifies the book's multifaceted approach. Notably, it provides a solution manual and an answer key for exercises, enhancing the reader's comprehension and application of Bayesian statistics in data analysis. The text is lauded for its clarity and depth, receiving widespread acclaim from academics and practitioners for making complex statistical concepts accessible. Its emphasis on examples, case studies, and computational techniques is particularly valuable in illuminating real-world applications of Bayesian methods. Engagingly written, the book addresses common queries and challenges faced in statistical modeling, fostering a deeper understanding of data-driven inferential techniques. This text remains a cornerstone in statistical education, bridging the gap between theoretical statistics and practical application through its meticulous content organization. Bayesian Data Analysis is not just informative but transformative, empowering users to navigate and innovate within the statistical landscape. The nuances of probability, sampling distributions, and statistical inference methodology encapsulate the book's pivotal contribution to the field. This cheap, thoughtfully crafted guidebook includes a solution manual that enhances the learning process.
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