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随机模型两种二次无偏估计方法的等价性 被引量:1

Equivalence of the two quadratic unbiased estimation methods for random model
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摘要 分析最小范数二次无偏估计(M INQUE估计法)和最小方差二次无偏估计(B IQUE估计法),导出最小方差二次无偏估计的计算公式,证明这两种估计方法等价的条件.理论分析表明,无论初值如何选取,在迭代收敛的条件下,M INQUE估计法和B IQUE估计法的结果一致.最小方差二次无偏估计的意义明确,建模过程简明,易于理解. The minimum norm quadratic unbiased estimation (MINQUE) and the minimum variance quadratic unbiased estimation (BIQUE) are analysed. The calculation formula to the minimum variance quadratic unbiased estimation is educed and the equivalent condition of the two estimations is proved. It is showed by the theoretical analysis, whatever the initial value is selected, it is conformable in the result of the minimum norm quadratic unbiased estimation and the minimum variance quadratic unbiased estimation in the iterative convergence condition. The meaning of the minimum variance quadratic unbiased estimation is explicit, and the modeling process is simple and easy to be comprehended.
出处 《哈尔滨工业大学学报》 EI CAS CSCD 北大核心 2006年第8期1366-1368,共3页 Journal of Harbin Institute of Technology
基金 黑龙江省自然科学基金资助项目(G0301) 黑龙江省普通高等学校骨干教师创新能力资助计划项目(1054G039)
关键词 随机模型 范数 方差 估计 random model norm variance estimation
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