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Regression and the Moore-Penrose Pseudoinverse (Mathematics in Science & Engineering) by Arthur Albert (Eds.) is a nonfiction available to read on EtoBox.
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Content: Edited by Page iii Copyright page Page iv Dedication Page v Preface Page xi Acknowledgments Page xiii Part I : The General Theory and Computational Methods Page 1 Chapter I : Introduction Original Research Article Pages 3-4 Chapter II General Background Material Original Research Article Pages 5-13 Chapter III Geometric and Analytic Properties of the Moore-Penrose Pseudoinverse Original Research Article Pages 15-42 Chapter IV Pseudoinverses of Partitioned Matrices and Sums and Products of Matrices Original Research Article Pages 43-56 Chapter V Computational Methods Original Research Article Pages 57-81 Part II : Statistical Applications Original Research Article Page 83 Chapter VI : The General Linear Hypothesis Original Research Article Pages 85-118 Chapter VII Constrained Least Squares, Penalty Functions, and Blue's Original Research Article Pages 119-123 Chapter VIII Recursive Computation of Least Squares Estimators Original Research Article Pages 125-155 Chapter IX Nonnegative Definite Matrices, Conditional Expectation, and Kalman Filtering Original Research Article Pages 157-172 References Pages 173-176 Index Pages 177-180
Who reads Regression and the Moore-Penrose Pseudoinverse (Mathematics in Science & Engineering)?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Arthur Albert (Eds.)
- Publisher
- Elsevier, Academic Press
- Published
- 1972
- Language
- EN
- ISBN
- 9780080956039
- Category
- nonfiction
- Subjects
- Computer Science, Mathematics, Technology
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