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Book Categories |
List of Chapters.
Preface.
BASICS.
Introduction.
Basic Matrix Operations.
Special Matrices.
Determinants.
Inverse Matrices.
NECESSARY THEORY.
Linearly (IN)Dependent Vectors.
Rank.
Canonical Forms.
Generalized Inverses.
Solving Linear Equations.
Eigenroots and Eigenvectors.
Miscellanea.
WORKING WITH MATRICES.
Applying Linear Equations.
Regression Analysis.
Linear Statistical Models.
Linear Programming.
Markov Chain Models.
References.
Index.
| Price | Condition | Delivery | Seller | Action |
| $122.33 | Digital |
| WonderClub |
Laury Swanson
reviewed Matrix Algebra for Applied Economics on November 19, 2016
Matrix Algebra for Applied Economics
Comprehensive and easy to digest review of statistical analysis techniques with specific examples geared towards economics.
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Add Matrix Algebra for Applied Economics, Coverage of matrix algebra for economists and students of economics Matrix Algebra for Applied Economics explains the important tool of matrix algebra for students of economics and practicing economists. It includes examples that demonstrate the founda, Matrix Algebra for Applied Economics to the inventory that you are selling on WonderClubX
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Add Matrix Algebra for Applied Economics, Coverage of matrix algebra for economists and students of economics Matrix Algebra for Applied Economics explains the important tool of matrix algebra for students of economics and practicing economists. It includes examples that demonstrate the founda, Matrix Algebra for Applied Economics to your collection on WonderClub |
