Correlations among some clay parameters — the multivariate distribution

By Jianye Ching, Kok-Kwang Phoon. 2014

142 citations recorded by the source corpus.

Subfields: Civil and Structural Engineering, Safety, Risk, Reliability and Quality

View Paper: https://www.semanticscholar.org/paper/656049b65a121319c7dafe2bbc57c0193a1e657d

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Civil and Structural Engineering

1. Dianqing Li
2. Kok-Kwang Phoon
3. Xiao-Song Tang
4. Z. Cao
5. Chongzhi Wu
6. Yongqin Li
7. Lin Wang
8. Pijush Samui

In Safety, Risk, Reliability and Quality

1. Dianqing Li
2. Kok-Kwang Phoon
3. Xiao-Song Tang
4. Z. Cao
5. Chongzhi Wu
6. Yongqin Li
7. Lin Wang
8. Wengang Zhang

Citations in the corpus

• Assessment of pile drivability using random forest regression and multivariate adaptive regression splines (2019, background): “Correlation coefficient matrix heatmap of the feature variables and the label variables. factor b. Bias factor b is the sample mean of (actual target value) / (predicted target value), and if b = 1, the model prediction is unbiased (Ching and Phoon 2014; D’Ignazio et al. 2016; Phoon and Tang 2019a).”
• Impact of sample size on geotechnical probabilistic model identification (2017, background): “Furthermore, multiple soil parameters can be correlated with each other [4,6,5].”