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A First Course in Linear Model Theory, by Nalini Ravishanker, Dipak K. Dey
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This innovative, intermediate-level statistics text fills an important gap by presenting the theory of linear statistical models at a level appropriate for senior undergraduate or first-year graduate students. With an innovative approach, the author's introduces students to the mathematical and statistical concepts and tools that form a foundation for studying the theory and applications of both univariate and multivariate linear models
A First Course in Linear Model Theory systematically presents the basic theory behind linear statistical models with motivation from an algebraic as well as a geometric perspective. Through the concepts and tools of matrix and linear algebra and distribution theory, it provides a framework for understanding classical and contemporary linear model theory. It does not merely introduce formulas, but develops in students the art of statistical thinking and inspires learning at an intuitive level by emphasizing conceptual understanding.
The authors' fresh approach, methodical presentation, wealth of examples, and introduction to topics beyond the classical theory set this book apart from other texts on linear models. It forms a refreshing and invaluable first step in students' study of advanced linear models, generalized linear models, nonlinear models, and dynamic models.
- Sales Rank: #311722 in Books
- Brand: Brand: Chapman and Hall/CRC
- Published on: 2001-12-21
- Original language: English
- Number of items: 1
- Dimensions: 9.60" h x 1.24" w x 6.40" l, 1.81 pounds
- Binding: Hardcover
- 496 pages
- Used Book in Good Condition
Most helpful customer reviews
0 of 0 people found the following review helpful.
Find out if you are getting a first or second printing.
By RR
Be very careful of what you get. I thought ordering from Amazon I would get the newest printing (ordering a new book). Instead I received a first printing with many errors that have been corrected in the second printing of the first edition.
3 of 4 people found the following review helpful.
Excellent Introductory book
By Anonymous statman
This book may serve as an excellent introductory tool to a graduate linear models class; specially for students who come from fields not all that related to math and statistics. The book starts with a broad review of linear algebra (it even mentions the forgotten tool of reduced row echelon form to find the rank of a matrix) followed by the theory of basic linear modelling. After the introduction, the book will gradually get deeper into the theory while implementing the concepts of the first few chapters. Some sections can be fairly complex which as a result makes the book appealing to both master and phD level students. The later chapters provide brief introductions to smoothing, longitudinal models, principal components and other concepts used in practice. There were some errors in the book but it is my understanding that most of them have been fixed in the second printing. My complements to the authors for such work.
0 of 0 people found the following review helpful.
It's ok
By Keyla
I bought this book because it was required for my linear models class. The book has nice examples and I like the way it is organized. However, this version it is not the first printing, yet it still have too many typos.
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