Correlation vs Regression: Both correlation and regression are two powerful tools of statistics and data analysis used to understand the relationships between variables. However, they serve distinct ...

1. Presenting and summarizing data -- 2. Probability -- 3. Random variables and their distributions -- 4. Population and sample -- 5. Estimation of parameters -- 6. Hypotheses testing -- 7. Simple ...

A quantitative study is made of the bias in the usual estimate of the linear correlation coefficient and of the relative efficiency of the estimated regression, when a certain type of selective ...

In this article, we propose a computationally efficient approach—space (Sparse PArtial Correlation Estimation)—for selecting nonzero partial correlations under the high-dimension-low-sample-size ...