对有限总体在不放回抽样的方法下，构造了一类非线性回归估计量，讨论了它的性质及其有关抽样误差．。
A kind of nonlinear regression estimator for limited Population is given and the quality and the sampling variance about is discussed.
但这种方法进行的参数估计不是无偏估计量，因此其非线性拟合精度较低。
The parameter estimation achieved by this method is not unbiased. The precision of curve fitting is low.
本文指出线性化后的曲线拟合参数不是无偏估计量。
This paper points out that the linearized curve-fitting parameters are not unbiased estimations.
运用广义最小二乘法研究了一类半线性模型中的参数、函数的估计量问题，并证得估计量的一致性结果。
The estimators problem of parameters and functions in Semi-Linear Model were studied by Generalized Least Square method. The agreement between parameters and functional estimators was then presented.
本文利用最小二乘估计给出噪声为ARMA序列线性模型中时变参数估计，并讨论了估计量的相容性问题。
In this paper we get the estimation of time-varying parameters in linear regression model with ARMA noise by the least square method and discuss the consistency of the estimation at the same time.
利用参数的最佳线性无偏估计量及最佳线性不变估计量，估计出可靠度的近似置信下限。
The approximate lower confidence bound for the reliability of the component is obtained by using Best Linear Unbiased Estimate and Best Linear Invariant Estimate for parameters.
利用参数的最佳线性无偏估计量及最佳线性不变估计量，估计出可靠度的近似置信下限。
The approximate lower confidence bound for the reliability of the component is obtained by using Best Linear Unbiased Estimate and Best Linear Invariant Estimate for parameters.
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