As the title “Practical Regression” suggests, these notes are a guide to performing regression in practice. This note explains how to choose between log and linear specification. The note emphasizes ...

In this article, Bayesian and non-Bayesian methods for estimating parameters of the log-normal distribution and of log-normal regression processes are considered. Posterior distributions for ...

The log-binomial regression model is an essential tool for performing relative risk regression to analyze binary outcomes. The Hotelling T2 Control Chart is an effective multivariate process ...

This is a preview. Log in through your library . Abstract A robust analysis for field data is proposed using a stratified rank regression model. That analysis follows Pettitt (1982). Alternatively, a ...

Example 29.2: Normal Regression, Log Link Consider the following data, where x is an explanatory variable, and y is the response variable. It appears that y varies nonlinearly with x and that the ...

In this article, Figure 1 legend has an error; a revised legend is provided. Figure 1. Approximate bias in log concentration regression half-life estimates in the presence of background exposures.