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- W2040802318 abstract "When stones prevent the measurement of cone resistance, and missing values below the stones are ignored, then averages can be seriously underestimated. Methods are considered for correcting this bias and an algorithm is proposed in which missing observations are replaced by their expected values. A numerical example gives results in close agreement with those obtained using the optimal, but computationally expensive, method of maximum likelihood estimation. It is recommended that data from incomplete penetrations should not be discarded but should be used, preferably with the proposed algorithm, to reduce the bias in estimates of mean values." @default.
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- W2040802318 date "1988-12-01" @default.
- W2040802318 modified "2023-10-18" @default.
- W2040802318 title "Analysis of cone resistance data with missing observations below stones" @default.
- W2040802318 cites W2034608127 @default.
- W2040802318 cites W2097802684 @default.
- W2040802318 doi "https://doi.org/10.1111/j.1365-2389.1988.tb01242.x" @default.
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