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首页> 外文期刊>Journal of automation and information sciences >Identification of Systems Parameters of Autoregressive Equations with Random Coefficients and Known Covariance Matrices
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Identification of Systems Parameters of Autoregressive Equations with Random Coefficients and Known Covariance Matrices

机译:具有随机系数和已知协方差矩阵的自回归方程的系统参数的识别

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摘要

The estimation problem of parameters of system of autoregressive equations is considered. It is supposed that the coefficients are the random quantities, the sets of input variables in the equations can be various, and the random additive components in output variables can be statistically dependent both in model of functioning and in an observation model. It is supposed that the covariance matrices of random coefficients as well as additive random components in functioning and observation models are known. Iterative procedure of estimating mathematical expectation of random coefficients is investigated by a method of statistical tests.
机译:考虑了自回归方程组参数的估计问题。假定系数是随机量,方程中的输入变量集可以多种多样,并且输出变量中的随机加性成分在功能模型和观察模型中都可以在统计上相关。据推测,在功能模型和观测模型中,随机系数的协方差矩阵以及加法随机分量是已知的。通过统计检验的方法研究了估计随机系数的数学期望的迭代过程。

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