4. The results strongly support the notion that density declines with increasing body mass in a broad, linear band with a slope around -1. However there is some evidence to suggest that this overall ...

A locally most powerful test is developed for the hypothesis that a slope coefficient in a linear time series model is stable, against the alternative that the slope shifts exactly once somewhere in ...

In this module, we will introduce generalized linear models (GLMs) through the study of binomial data. In particular, we will motivate the need for GLMs; introduce the binomial regression model, ...

A solid coverage of the most important parts of the theory and application of regression models, and generalised linear models. Multiple regression and regression diagnostics. Generalised linear ...

Abstract Published: November 1984 Height prediction by a linear regression procedure H Degenhart, A Bak, S Drop & H Visser Pediatric Research 18, 1218 (1984) Cite this article ...

Ordinary regression analysis is based on several statistical assumptions. One key assumption is that the errors are independent of each other. However, with time series data, the ordinary regression ...