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Identification, Equivalent Models, and Computer Algebra

Statistical Modeling and Decision Science

  • 1st Edition - October 19, 1993
  • Authors: Paul A. Bekker, Arjen Merckens, Tom J. Wansbeek
  • Editors: Gerald J. Lieberman, Ingram Olkin
  • Language: English
  • eBook ISBN:
    9 7 8 - 1 - 4 8 3 2 - 1 6 3 9 - 3

Identification, Equivalent Models, and Computer Algebra provides information pertinent to computer algebra. This book presents a brief discussion of the commutation matrix, an… Read more

Identification, Equivalent Models, and Computer Algebra

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Identification, Equivalent Models, and Computer Algebra provides information pertinent to computer algebra. This book presents a brief discussion of the commutation matrix, an operator that plays a role when derivatives have to be evaluated involving symmetric matrices. Organized into eight chapters, this book begins with an overview of the link between identification of a parameter and the existence of a consistent estimator, and the link between identification of a model and the rank of a Jacobian matrix. This text then describes an algorithm for the determination of the exact rank of a parametrized matrix. Other chapters consider the identification in the simultaneous equation model. This book discusses as well the identification assessment in confirmatory factor analysis, a problem related to the simultaneous equations model. The final chapter deals with various computer programs that the enclosed diskette contains. This book is a valuable resource for readers who are interested in computer algebra.