• 回归纳入经济/金融变量以及线性样条时间变量设置进行测试外部系列

    Regressions incorporating the economic/financial variables as well as a linear spline in time variable are set up for testing the externality series.

    youdao

  • 目的放宽经典线性模型中的多个解释变量线性假定探讨多维样条回归分析模型。

    Objective to relax linear assumption of explanatory variables in general linear model and explore more-dimensional spline regression analysis model.

    youdao

  • 夏收期间中期预报使用非线性多元函数回归预报模型

    The nonlinear multiple spline progressive regression model is used in the medium-range prediction of sununer harvest.

    youdao

  • 改进支持向量回归B -样条网络相结合,提出一种建立回归曲线模型算法

    A new algorithm for modeling regression curve is put forward in the paper, it combines B-spline network with improved support vector regression.

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  • 回归函数密度函数样条估计具有优良统计性质

    The spline estimates of regressive function, density function and so on have very good statistical properties.

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  • 目的改进回归分析经典最小二乘估计方法探讨光滑样条非参数回归分析方法。

    Objective To improve on classical least squares estimate of regression analysis and explore nonparametric smoothing spline regression analysis.

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  • 针对牛肉建立了牛肉新鲜度样条回归模型模型进行回归分析

    This paper presents beef freshness spline regression model according to beef sample, and carries out regression analysis for this model.

    youdao

  • 本文给出一种样条回归交点选择方法

    The paper presents a new method of selecting intersection points of one class spline regression curve.

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  • 基于多项样条全局光滑方法,建立函数系数线性回归模型系数函数估计

    A global smoothing method based on polynomial splines is used to estimate the coefficient functions in functional-coefficient linear autoregressive models.

    youdao

  • 文章的研究基于数值模拟采用三次曲线回归方法推导出计算动覆岩离层量大小公式

    In this study, a suit of formula for mining overburden bed separation volume calculation was developed based on numerical simulation using cube shape curve regression method.

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  • 同时LSSVM回归方式形成包络线,取代传统EMD中的三次样条插值

    The upper and lower envelopes are constructed by using LSSVM regression instead of spline interpolation in EMD.

    youdao

  • 同时LSSVM回归方式形成包络线,取代传统EMD中的三次样条插值

    The upper and lower envelopes are constructed by using LSSVM regression instead of spline interpolation in EMD.

    youdao

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