To offset the typically poor estimation of variance and to increase statistical power, investigators have developed methods that borrow information from genes across the array.

Making inferences about population differences based on samples of data, that is, performing intuitive analysis of variance (IANOVA), is common in everyday life. However, the intuitive reasoning of ...

The bias-variance trade-off is crucial for achieving an optimally performing supervised learning model. Bias is the difference between the average prediction of a model and the actual value. The ...

We present in this paper general formulas for deriving the maximum likelihood estimates and the asymptotic variance-covariance matrix of the positions and effects of quantitative trait loci (QTLs) in ...