Matrix Algebra Useful For Statistics(2nd Edition)

Authors:

Shayle R Searle, Andre I Khuri

Type:Hardcover/ PaperBack / Loose Leaf
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Book details

ISBN: 1118935144, 978-1118935149

Book publisher: Wiley

Book Price $82.66 : Matrix Algebra Useful for Statistics by Shayle R. Searle and Andre I. Khuri is an essential textbook that merges matrix algebra with practical statistical analysis to equip readers with advanced mathematical tools for data interpretation. This second edition refines and expands upon concepts crucial for statisticians, providing a comprehensive guide that bridges theoretical matrix algebra and its applications in statistical methodologies. The book's structure, detailed in its meticulous table of content, guides readers from basic matrix operations to more complex techniques like eigenvalues and eigenvectors, contrasting matrix properties, and linear transformations. By offering a careful synthesis of foundational theory and practical examples, the authors ensure that topics like matrix inverses, generalized inverses, and quadratic forms are understood within statistical contexts. An accompanying solution manual supports deeper understanding by providing complete solutions to the exercises, optimizing learning with an answer key that clarifies problem-solving strategies. This book is recognized for its rigorous approach and precise exposition, making it a vital resource in graduate-level statistics courses. Instructors and students alike value the explicit problems and structured theoretical discussions that facilitate a robust comprehension of statistical techniques underpinned by matrix algebra. For those entrenched in the statistical field, it serves as an invaluable reference, enhancing analytical capabilities and broadening understanding. Students struggling with finances appreciate the cheap format of this book that still delivers quality content.