Regression is an important process in the normal development of many organs. In this study, we investigated whether glomerular regression occurs after normal glomerulogenesis and determined the time ...

When the error covariance matrix in a linear model depends on a few unknown parameters, the regression coefficients can be estimated by a two-step procedure ...

In the early 1970s, statisticians had difficulty in analysing data where the random variation of the errors did not come from the bell-shaped normal distribution. Besides normality, these traditional ...

This is a preview. Log in through your library . Abstract A normal distribution regression model with a frailty-like factor to account for statistical dependence between the observed survival times is ...

Linear regression is a fundamental statistical method used to model and understand the relationship between different variables. At its heart, it aims to find the best-fitting straight line that ...