Matrix differential calculus with applications in statistics and econometrics

書誌事項

Matrix differential calculus with applications in statistics and econometrics

Jan R. Magnus and Heinz Neudecker

(Wiley series in probability and mathematical statistics, . Applied probability and statistics)

Wiley, c1999

Rev. ed

  • : hbk
  • : pbk

大学図書館所蔵 件 / 66

この図書・雑誌をさがす

注記

Includes bibliography (p. 379-386) and indexes

Previous ed.: 1st ed. c1988, including 1st rev. printing(1991) and 2nd rev. printing(1998)

内容説明・目次

巻冊次

: hbk ISBN 9780471986324

内容説明

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.

目次

MATRICES: BASIC PROPERTIES OF VECTORS AND MATRICES. Kronecker Products, the Vec Operator and the Moore-Penrose Inverse. Miscellaneous Matrix Results. DIFFERENTIALS: THE THEORY: MATHEMATICAL PRELIMINARIES. Differentials and Differentiability. The Second Differential. Static Optimization. DIFFERENTIALS: THE PRACTICE: SOME IMPORTANT DIFFERENTIALS. First Order Differentials and Jacobian Matrices. Second Order Differentials and Hessian Matrices. INEQUALITIES: INEQUALITIES. THE LINEAR MODEL: STATISTICAL PRELIMINARIES. The Linear Regression Model. Further Topics in the Linear Model. APPLICATIONS TO MAXIMUM LIKELIHOOD ESTIMATION: MAXIMUM LIKELIHOOD ESTIMATION. Simultaneous Equations. Topics in Psychometrics.
巻冊次

: pbk ISBN 9780471986331

内容説明

Matrix Differential Calculus With Applications in Statistics and Econometrics Revised Edition Jan R. Magnus, CentER, Tilburg University, The Netherlands and Heinz Neudecker, Cesaro, Schagen, The Netherlands " .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. * Contains the essentials of multivariable calculus with an emphasis on the use of differentials * Many new examples and exercises * Fulfils the need for a unified and self-contained treatment of matrix differential calculus * Includes new developments in this field Part I presents a concise, yet thorough overview of matrix algebra, while the second part develops the theory of differentials. The remaining Parts III to VI combine the theory and application of matrix differential calculus providing the practitioner and researcher with both a quick review and a detailed reference. Visit our web page http://www.wiley.com/

目次

Preface xv Preface to the first revised printing xvii Preface to the second revised printing xviii Part One- Matrices Part Two- Differentials: the theory Part Three- Differentials: the practice Part Four- Inequalities Part Five- The linear model Part Six- Applications to maximum likelihood estimation Bibliography 379 Index of Symbols 387 Subject Index 390

「Nielsen BookData」 より

関連文献: 1件中  1-1を表示

詳細情報

ページトップへ