在研究测量误差分析、模型误差统计检验、变形分析、可靠性分析和优化设计等问题中，经常需要对统计量分布的非中心参数进行估计。

The noncentral parameter of statistic distribution often needs to be estimated in error analysis, statistical test, deformational analysis, reliability analysis, and optimum design, etc.

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然而，对各种具体的相依数据的统计模型(如相依数据的非线性回归和相依数据的非参数回归模型)的研究还不够充分和不够完备。

So far, however, the theory that studies specially the statistical models with dependent data such as nonlinear regression and nonparametric regression models is not very satisfactory.

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附加系统参数的混合平差模型中 ，同时含有非随机系统参数和具有验前统计性质的随机系统参数。

The mixing adjustment model with systematical parameters is an adjustment model including both non random systematical parameters and random systematical parameters.

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附加系统参数的混合平差模型中 ，同时含有非随机系统参数和具有验前统计性质的随机系统参数。

The mixing adjustment model with systematical parameters is an adjustment model including both non random systematical parameters and random systematical parameters.

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