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Linear Model Theory: With Examples and Exercises (Mathematics and Statistics)
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Linear Model Theory: With Examples and Exercises (Mathematics and Statistics)
Each major concept or result is illustrated with one or more concrete examples or special cases.
Linear Model Theory: With Examples and Exercises (Mathematics and Statistics)
物品 #: 248368577

Linear Model Theory: With Examples and Exercises (Mathematics and Statistics)

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物品 #: 248368577

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Each major concept or result is illustrated with one or more concrete examples or special cases.
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What Stands Out

Comprehensive Coverage
Offers an in-depth exploration of linear model theory, equipping learners with a robust understanding of mathematical concepts and statistical applications critical for academic success.
Practical Examples
Includes real-world examples that enhance comprehension, enabling readers to apply theoretical knowledge to practical situations, thereby solidifying their learning experience.
Interactive Exercises
Features a series of exercises designed to reinforce concepts, allowing readers to test their knowledge and enhance problem-solving skills, making it ideal for self-study or classroom use.

產品詳情

Shop Linear Model Theory: With Examples and Exercises (Mathematics and Statistics) online at a best price in 香港. B08MKPWVQK
  • This textbook presents a unified and rigorous approach to best linear unbiased estimation and prediction of parameters and random quantities in linear models, as well as other theory upon which much of the statistical methodology associated with linear models is based. The single most unique feature of the book is that each major concept or result is illustrated with one or more concrete examples or special cases. Commonly used methodologies based on the theory are presented in methodological interludes scattered throughout the book, along with a wealth of exercises that will benefit students and instructors alike. Generalized inverses are used throughout, so that the model matrix and various other matrices are not required to have full rank. Considerably more emphasis is given to estimability, partitioned analyses of variance, constrained least squares, effects of model misspecification, and most especially prediction than in many other textbooks on linear models. This book is intended for master and PhD students with a basic grasp of statistical theory, matrix algebra and applied regression analysis, and for instructors of linear models courses. Solutions to the book’s exercises are available in the companion volume Linear Model Theory - Exercises and Solutions by the same author.
Publisher Springer
Publication date November 2, 2020
Edition 1st ed. 2020
Language English
File size 9.4 MB
Enhanced typesetting Not Enabled
X-Ray for textbooks Enabled
Word Wise Not Enabled
Print length 525 pages
Format Print Replica
ISBN-13 978-3030520632
Page Flip Not Enabled
Item Weight2 lbs (910 grams)

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特色和優勢

  • Unified approach to linear unbiased estimation and prediction.
  • Concrete examples are presented for each major concept.
  • Methodology interludes enhance understanding.
  • Wealth of exercises provided for practical application.
  • Focus on estimability and model predictions.
  • Suitable for master and PhD students and course instructors.

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