Gauss-Markov模型参数的岭型广义逆估计及其优良性Ridge Type-generalized Inverse Estimator of Parameters in Gauss-Markov Model and Its Optimality
归庆明,郭建锋
摘要(Abstract)：
本文继续文献 [10 ]的工作 ,进一步讨论了测量平差 Gauss- Markov模型参数岭型广义逆估计的若干性质 ,如允许性、优效性、相对效率、抗干扰性等等 ,得到了许多重要结论。计算结果表明 ,在设计阵呈病态时 ,岭型广义逆估计确能明显改善 L S估计
关键词(KeyWords)： 测量平差;奇异值分解;有偏估计;优良性
基金项目(Foundation): 国家杰出青年科学基金项目 (4 982 5 10 7);; 国家自然科学基金项目 (4 0 0 740 0 6 );; 河南省自然科学基础研究项目(0 0 40 5 130 0 )
作者(Author): 归庆明,郭建锋
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