Murray -- 33."How? (Audiences)" / Linda Hutcheon -- 34.Searching Forthe Origami: The Matrix And

-- 2.1.Vectors and Matrices -- 2.2.Matrix Algebra in Practice -- 2.3.Eigenvectors and Eigenvalues -- 2

.Exercises -- 6.The Trigonometry of Matrix Statistics -- Perspective -- 6.1.Statistical Efficiency -- 6.2.The

-- 10.8.Exercises -- 11.Reading and writing data -- 11.1.The goal: The data matrix -- 11.2.Importing

Scientific Progress -- 2.1.From Skepticism to Mysterianism -- 2.2.The Social Matrix -- 2.3.The Role of

-dimensional covariance matrix estimation -- 4.High-dimensional covariance matrix estimation -- Acknowledgments

Adjustments -- 4.4.Matrix Geometric Methods for G/G/s Queues -- 4.4.1.Phase-Type Processes: Description and

-- The fundamentals of linear (or Matrix) algebra -- Matrix inversion -- Special determinants and

testing in ANOVA, MANOVA, ANCOVA, and regression, and an entire chapter on the advanced matrix algebra

Spherical Representation of a Correlation Matrix -- 3.8.Focused Principal Component Analysis -- 4.1

another object -- 2.7.Transpose a matrix (or data frame) -- 2.8.Impute values using last observation

-- Changing the culture -- Divide and conquer -- Prescriptive content matrix -- Editorial style guidelines