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A qPCR identification scheme to detect the most common causative agents of actinomycetoma in Africa. [PDF]
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Identification and Lack of Identification
Econometrica, 1983The paper discusses cases where an econometric model linear in the variables is identified, but where the estimators are not asymptotically normally distributed. Maximum likelihood estimators and instrumental variable estimators are considered in some detail and the results are illustrated by means of a Monte Carlo simulation of a particularly simple ...
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Annual Review in Automatic Programming, 1995
Abstract We present a conceptual characterization of the various ways of addressing the problem of identification for control. This leads us to distinguish between a dual control approach, an optimal experiment design approach and a robust control approach.
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Abstract We present a conceptual characterization of the various ways of addressing the problem of identification for control. This leads us to distinguish between a dual control approach, an optimal experiment design approach and a robust control approach.
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Automatica, 1979
The paper refers to methods used for identification of linear and nonlinear systems. Deterministic and stochastic approaches are distinguished and specific features concerning parameters, structure and state estimation are briefly discussed from the point of view of possible advantages and difficulties for identification. Attention is paid to different
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The paper refers to methods used for identification of linear and nonlinear systems. Deterministic and stochastic approaches are distinguished and specific features concerning parameters, structure and state estimation are briefly discussed from the point of view of possible advantages and difficulties for identification. Attention is paid to different
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Aggregation and Identification
International Economic Review, 1976THE PURPOSE OF THIS PAPER is to develop the theory of aggregation in a relatively simple and general manner. The theory encompasses linear and nonlinear models, with the results for linear models emerging as special cases of a more general treatment. It was recognized at an early stage of the investigation of aggregation problems that the analysis must
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