• In this paper, we study the testing for varying dispersion in proper dispersion nonlinear models.

    本文研究了恰当散度非线性模型变离差的检验问题。

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  • Based on analysis of nonlinear models, mathematical physics meanings and mathematical characters of blown-ups are provided.

    基于对非线性模型的分析,给出了溃变的数学物理学意义和数学特征。

    youdao

  • Based on the analysis of nonlinear models, mathematical physics meanings and mathematical characters of blown-ups are provided.

    基于非线性模型分析,给出了溃变的数学物理意义和数学特征。

    youdao

  • It is necessary to make a reasonable covariance structure for longitudinal data so as to fit these data with linear or nonlinear models.

    为了用线性或非线性模型拟合纵向数据,需要确定一个合理的协方差结构。

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  • Linear models mainly include the factor analysis model and the trend surface model. And nonlinear models include BP neural network model.

    其线性模型主要为因子分析模型和趋势面分析模型,非线性模型为BP神经网络模型。

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  • As an example, the riding index of diesel locomotive type DF 9 is calculated and the results of linear and nonlinear models of the locomotive are compared.

    本文以东风9内燃机车为例,分析了各种速度下的平稳性指数,并比较了线性模型和非线性模型的分析结果。

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  • In this paper a variety of time series nonlinear models are introduced and the idea and modeling method of the threshold autoregression are discussed in detail.

    本文概述了时序分析的非线性模型类,详细叙述了门槛自回归模型的建模思想和方法。

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  • Adaptive controllers based on simplified linear and nonlinear models are studied by simulation and the results show that the latter has better property of convergence.

    通过对基于简化线性和非线性模型的自适应控制器的仿真研究,结果表明后者具有更好的收敛性。

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  • In (1 + 1) -dimensional nonlinear dynamical systems, it is believed that different kinds of localized excitations exist in different types of nonlinear models respectively.

    在(1 + 1)维非线性动力学系统,人们发现不同的局域激发模式分别存在于不同的非线性系统。

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  • Founded on change speciality of series of dam safety monitoring forecast, artificial neural networks and nonlinear models of time series based on genetic algorithms are applied.

    根据大坝监测数据在时序上变化特征,应用了神经网络和基于遗传算法的时间序列的非线性预测模型。

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  • For generalized linear and nonlinear models, it is still a conventional hypothesis that observed data should have nominal dispersion, otherwise statistical inference would be more difficult.

    对于广义回归模型,人们也总是假设数据具有名义离差,否则,统计推断更加困难。

    youdao

  • As in ordinary regression models, the problem of the heteroscedasticity test still exists in nonlinear models with correlated errors, but, the test for correlation also needs to be considered.

    和普通的非线性回归模型一样,具有相关误差的非线性模型也存在异方差检验问题,但通常还要检验相关性。

    youdao

  • As in ordinary regression models, the problem of the heteroscedasticity test still exists in nonlinear models with correlated errors, but, the test for correlation also needs to be considered.

    和普通的非线性回归模型一样,具有相关误差的非线性模型也存在异方差检验问题,但通常还要检验相关性。

    youdao

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