For the linear regression model y = Xβ + ε the local sensitivities of estimates for β are investigated with respect to a general error structure for the residuals ...

Regression diagnostics and lack-of-fit tests mainly focus on linear-linear regression models. When the design points are distributed on the circumference of a circle, difficulties arise as there is no ...

Logistic regression is a powerful statistical method that is used to model the probability that a set of explanatory (independent or predictor) variables predict data in an outcome (dependent or ...

Mathematical modelling is an essential tool in systems biology. To ensure the accuracy of mathematical models, model parameters must be estimated using experimental data, a process called regression.

The short course will illustrate how to use JMP in linear regression analysis. The three main topics will be: Exploratory data analysis, simple liner regression and polynomial regression How to fit a ...