Title
Matrix Algebra Useful For Statistics (Wiley Series In Probability And Statistics)
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A Thoroughly Updated Guide To Matrix Algebra And It Uses In Statistical Analysis And Features Sas, Matlab, And R Throughoutthis Second Edition Addresses Matrix Algebra That Is Useful In The Statistical Analysis Of Data As Well As Within Statistics As A Whole. The Material Is Presented In An Explanatory Style Rather Than A Formal Theoremproof Format And Is Selfcontained. Featuring Numerous Applied Illustrations, Numerical Examples, And Exercises, The Book Has Been Updated To Include The Use Of Sas, Matlab, And R For The Execution Of Matrix Computations. In Addition, Andr I. Khuri, Who Has Extensive Research And Teaching Experience In The Field, Joins This New Edition As Coauthor. The Second Edition Also: Contains New Coverage On Vector Spaces And Linear Transformations And Discusses Computational Aspects Of Matrices Covers The Analysis Of Balanced Linear Models Using Direct Products Of Matrices Analyzes Multiresponse Linear Models Where Several Responses Can Be Of Interest Includes Extensive Use Of Sas, Matlab, And R Throughout Contains Over 400 Examples And Exercises To Reinforce Understanding Along With Select Solutions Includes Plentiful New Illustrations Depicting The Importance Of Geometry As Well As Historical Interludesmatrix Algebra Useful For Statistics, Second Edition Is An Ideal Textbook For Advanced Undergraduate And Firstyear Graduate Level Courses In Statistics And Other Related Disciplines. The Book Is Also Appropriate As A Reference For Independent Readers Who Use Statistics And Wish To Improve Their Knowledge Of Matrix Algebra.The Late Shayle R. Searle, Phd, Was Professor Emeritus Of Biometry At Cornell University. He Was The Author Of Linear Models For Unbalanced Data And Linear Models And Coauthor Of Generalized, Linear, And Mixed Models, Second Edition, Matrix Algebra For Applied Economics, And Variance Components, All Published By Wiley. Dr. Searle Received The Alexander Von Humboldt Senior Scientist Award, And He Was An Honorary Fellow Of The Royal Society Of New Zealand.Andr I. Khuri, Phd, Is Professor Emeritus Of Statistics At The University Of Florida. He Is The Author Of Advanced Calculus With Applications In Statistics, Second Edition And Coauthor Of Statistical Tests For Mixed Linear Models, All Published By Wiley. Dr. Khuri Is A Member Of Numerous Academic Associations, Among Them The American Statistical Association And The Institute Of Mathematical Statistics.
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- Q: How many pages does the book have? A: The book has five hundred twelve pages. This extensive length allows for in-depth exploration of matrix algebra concepts.
- Q: What is the binding type of this book? A: The book is available in a hardcover binding. This provides durability and makes it suitable for frequent use in academic settings.
- Q: What are the dimensions of the book? A: The book measures seven point zero nine inches in length, one point two six inches in width, and ten point one six inches in height. These dimensions make it a manageable size for both reading and reference.
- Q: What statistical software is included in this book? A: The book features SAS, MATLAB, and R for matrix computations. These tools are widely used in statistical analysis and enhance practical learning.
- Q: Who are the authors of this book? A: The book is authored by Shayle R. Searle and André I. Khuri. Their expertise adds significant credibility and depth to the content.
- Q: Is this book suitable for beginners in statistics? A: Yes, the book is suitable for advanced undergraduate and first-year graduate students. It presents material in an explanatory style, making it accessible for learners.
- Q: How can I apply the concepts learned in this book? A: You can apply the concepts in practical statistical analysis using software like SAS, MATLAB, and R. The book includes numerous examples and exercises for hands-on learning.
- Q: Is this book good for self-study? A: Yes, it is appropriate for independent readers wanting to improve their matrix algebra knowledge. The self-contained chapters and exercises facilitate self-learning.
- Q: How do I care for this hardcover book? A: To keep the book in good condition, store it upright in a dry place and avoid exposure to moisture. Regularly dust the cover and avoid bending the pages.
- Q: What if I receive a damaged copy of the book? A: If you receive a damaged copy, you should contact the retailer for their return policy. Most retailers will offer a replacement or refund for damaged items.
- Q: Can this book help with advanced linear models? A: Yes, the book covers analysis of balanced linear models and multiresponse linear models. It provides a comprehensive understanding necessary for advanced statistical applications.
- Q: Does this book include examples and exercises? A: Yes, it includes over four hundred examples and exercises. This extensive collection reinforces understanding and aids in practical application of concepts.
- Q: Is this book focused solely on theory? A: No, the book emphasizes practical applications alongside theoretical concepts. It includes real-world examples to illustrate the use of matrix algebra in statistics.
- Q: What is the target audience for this book? A: The target audience includes advanced undergraduate and graduate students in statistics and related disciplines. It is also suitable for professionals seeking to enhance their statistical skills.
- Q: What topics does this book cover? A: The book covers matrix algebra, vector spaces, linear transformations, and statistical analysis techniques. These topics are essential for a comprehensive understanding of statistics.