ESTIMATING AUTOCOVARIANCE OF INSITU SOIL PROPERTIES
ESTIMATING AUTOCOVARIANCE OF INSITU SOIL PROPERTIES
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DOI：
10.1061/(asce)0733-9410(1993)119:1(147
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发表时间：
1993-01-01
期刊：
影响因子：
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通讯作者：
BAECHER, GB
中科院分区：
文献类型：
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作者：
DEGROOT, DJ;BAECHER, GB
原位土壤特性的空间变异性通常通过趋势面和趋势的残余变化来建模。随着计算机辅助设计的出现，统计程序现在通常应用于趋势和残差估计。提出了一种用于同时估计空间趋势的最大似然（ML）技术。测量噪声，以及关于空间趋势的残差的自协方差结构。该技术比传统程序具有更有利的统计特性。这些特性具有重要的实际优势，因为它们适合合并到计算机数据分析系统中。仿真实验用于验证 ML 估计的小样本量特性，并得出最佳钻孔布局的结论。实验表明，即使在岩土工程现场调查中常见的适度样本量下，也可以接近最大似然估计量的分析渐近特性。使用最大似然技术分析现场勘探程序的场风向标强度，并与使用传统力矩估计器获得的结果进行比较。
The spatial variability of soil properties in situ is often modeled by trend surfaces and residual variations about trend. With the advent of computer-aided design, statistical procedures are now routinely applied to trend and residual estimation. A maximum likelihood (ML) technique is presented for simultaneously estimating spatial trends. measurement noise, and the autocovariance structure of residuals about spatial trends. This technique has more favorable statistical properties than traditional procedures. and these properties have an important practical advantage in that they lend themselves to incorporation in computerized data-analysis systems. Simulation experiments are used to verify small-sample-size properties of ML estimation and to draw conclusions on optimal boring layouts. The experiments show that analytical asymptotic properties of maximum likelihood estimators are approached even at the modest sample sizes common in geotechnical site investigations. Field vane strengths from a site-exploration program are analyzed using the maximum likelihood technique and comparisons are made with results obtained using traditional moment estimators.