Feedback Analysis of a Living Body by a Multivariate Autoregressive Model

  • Takao Wada
Part of the Statistics for Engineering and Physical Science book series (ISS)


In the fields of medical or biological science, time series analysis including the analysis of fluctuation become popular in recent years. In spite of the fact, the analysis of the univariate system is mostly used and the analysis of the multivariate system is very few. Of course, there are some handbooks for multivariate time series analysis for medical data. However even in these handbooks, only the coherency among mutual variables, i.e. correlation, although it is classified according to the frequency, is referred to as a pivotal factor and lacks the consideration on the effect of feedback. It should be recognized that such a situation is quite regrettable considering from medical researchers’ viewpoint. Perhaps it is due to the fact that, in addition to the difficulty in taking in the multivariate data for time series analysis, the difficulty in the analysis or absence of methods usable for analysis of actual feedback systems.


Impulse Response Proximal Tubule Feedback System Impulse Response Function Impulsive Noise 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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© Springer-Verlag New York, Inc. 1999

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  • Takao Wada

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