Preface (to volume 2). Part 1: Additional Topics 8. Constrained Linear Models and Related Topics Part 2: Exercises and Solutions 2. Matrix Algebra: A Primer 3. Random Vectors and Matrices 4. The General Linear Model 5. Estimation and Prediction: Classical Approach 6. Some Relevant Distributions and Their Properties 7. Confidence Intervals (or Sets) and Tests of Hypotheses 8. Constrained Linear Models and Related Topics
Summary:
Linear Models and the Relevant Distributions and Matrix Algebra: A Unified Approach, Volume 2 covers several important topics that were not included in the first volume. The second volume complements the first, providing detailed solutions to the exercises in both volumes, thereby greatly enhancing its appeal for use in advanced statistics programs. This volume can serve as a valuable reference. It can also serve as a resource in a mathematical statistics course for use in illustrating various theoretical concepts in the context of a relatively complex setting of great practical importance. Together with the first volume, this volume provides a largely self-contained treatment of an important area of statistics and should prove highly useful to graduate students and others. Key Features: • Includes solutions to the exercises from both the first and second volumes • Includes coverage of several topics not covered in the first volume • Highly valuable as a reference book for graduate students and researchers
This resource is supported by the Institute of Museum and Library Services under the provisions of the Library Services and Technology Act as administered by State Library of Iowa.