This text is a self-contained and unified treatment of matrix differential calculus, specifically written for econometricians and statisticians. It can serve as a textbook for advanced undergraduates and postgraduates in econometrics and as a reference book for practising econometricians.
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" the best book to learn matrix and related ideas statisticians, econometricians, computer scientists, engineers, and psychometricians will find this extremely useful." ( Journal of Statistical Computation and Simulation, March 2006)
"a most welcome revision" (Computational Statistics & Data Analysis, 28 August 2001)
"...deals rigorously with many of the problems that have bedevilled the subject up to the present time..."
Stephen Pollock, Econometric Theory
"I continued to be pleasantly surprised by the variety and usefulness of its contents"
Isabella Verdinelli, Journal of the American Statistical Association
Continuing the success of their first edition, Magnus and Neudecker present an exhaustive and self–contained revised text on matrix theory and matrix differential calculus. Matrix calculus has become an essential tool for quantitative methods in a large number of applications, ranging from social and behavioural sciences to econometrics. While the structure and successful elements of the first edition remain, this revised and updated edition contains many new examples and exercises.
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