How Common Is Identification In Parametric Models


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Identifiability of Parametric Models


Identifiability of Parametric Models

Author: E. Walter

language: en

Publisher: Elsevier

Release Date: 2014-05-23


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Identifiability of Parametric Models provides a comprehensive presentation of identifiability. This book is divided into 11 chapters. Chapter 1 reviews the basic methods for structural identifiability testing. The methods that deal with large-scale models and propose conjectures on global identifiability are considered in Chapter 2, while the problems of initial model selection and generating the set of models that have the exact same input-output behavior are evaluated in Chapter 3. Chapters 4 and 5 cover nonlinear models. The relations between identifiability and the well-posedness of the estimation problem are analyzed in Chapter 6, followed by a description of the algebraic manipulations required for testing a model for structural controllability, observability, identifiability, or distinguishability in chapter 7. The rest of the chapters are devoted to the relations between identifiability and parameter uncertainty. This publication is beneficial to students and researchers aiming to acquire knowledge of the identifiability of parametric models.

How Common is Identification in Parametric Models?


How Common is Identification in Parametric Models?

Author: Douglas A. McManus

language: en

Publisher:

Release Date: 2008


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This paper examines whether identification is a 'common' or 'rare' phenomenon in nonlinear parametric models. For several broad classes of models, it is shown that there is an open and dense subset of identified models, and that consequently the set of nonidentified models is nowhere dense. The results of this paper suggest that the assumption of linearity in functional relationships to ease the conceptual and computational development of a theory can drastically limit the estimability of the model. An interesting feature of this paper is that global identification is established in the context of nonlinear models.

The New Palgrave Dictionary of Economics


The New Palgrave Dictionary of Economics

Author:

language: en

Publisher: Springer

Release Date: 2016-05-18


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The award-winning The New Palgrave Dictionary of Economics, 2nd edition is now available as a dynamic online resource. Consisting of over 1,900 articles written by leading figures in the field including Nobel prize winners, this is the definitive scholarly reference work for a new generation of economists. Regularly updated! This product is a subscription based product.