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|a Banerjee, Sudipto.
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|a Linear Algebra and Matrix Analysis for Statistics.
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|a Hoboken :
|b CRC Press,
|c 2014.
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|a 1 online resource (578 pages)
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|a Chapman & Hall/CRC Texts in Statistical Science
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|a Front Cover; Contents; Preface; CHAPTER 1: Matrices, Vectors and Their Operations; CHAPTER 2: Systems of Linear Equations; CHAPTER 3: More on Linear Equations; CHAPTER 4: Euclidean Spaces; CHAPTER 5: The Rank of a Matrix; CHAPTER 6: Complementary Subspaces; CHAPTER 7: Orthogonality, Orthogonal Subspaces and Projections; CHAPTER 8: More on Orthogonality; CHAPTER 9: Revisiting Linear Equations; CHAPTER 10: Determinants; CHAPTER 11: Eigenvalues and Eigenvectors; CHAPTER 12: Singular Value and Jordan Decompositions; CHAPTER 13: Quadratic Forms.
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|a CHAPTER 14: The Kronecker Product and Related OperationsCHAPTER 15: Linear Iterative Systems, Norms and Convergence; CHAPTER 16: Abstract Linear Algebra; References; Back Cover.
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|a Matrices, Vectors, and Their OperationsBasic definitions and notations Matrix addition and scalar-matrix multiplication Matrix multiplication Partitioned matricesThe ""trace"" of a square matrix Some special matricesSystems of Linear EquationsIntroduction Gaussian elimination Gauss-Jordan elimination Elementary matrices Homogeneous linear systems The inverse of a matrixMore on Linear EquationsThe LU decompositionCrout's Algorithm LU decomposition with row interchanges The LDU and Cholesky factorizations Inverse of partitioned matrices The LDU decomposition for partitioned matricesThe Sherman-W
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|a Matrices.
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700 |
1 |
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|a Roy, Anindya.
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776 |
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|i Print version:
|a Banerjee, Sudipto.
|t Linear Algebra and Matrix Analysis for Statistics.
|d Hoboken : CRC Press, ©2014
|z 9781420095388
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830 |
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0 |
|a Chapman & Hall/CRC Texts in Statistical Science.
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856 |
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