4Seemingly Unrelated Simple Linear Models

In this chapter, we consider an important class of models, namely, the seemingly unrelated simple linear models, belonging to the class of linear hypothesis, useful in the analysis of bioassay data, shelf‐life determination of pharmaceutical products, and profitability analysis of factory products in terms of costs and outputs, among other applications. In this model, as in the analysis of variance (ANOVA) model, images independent bivariate samples images are considered such that images for each pair images with fixed images.

The parameters images and images are the intercept and slope vectors of the images‐lines, respectively, and is the common known variance. In this model, it is common to test ...

Get Theory of Ridge Regression Estimation with Applications now with the O’Reilly learning platform.

O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.