This paper is concerned with Gaussian regression with random design, where the observations are independent and indentically distributed. It is known from work by Le Cam that the rate of convergence ...

The authors review and extend the literature on robust regression designs. Even for straight line regression, there are cases in which the optimally robust designs ...

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...

Logistic regression is often used instead of Cox regression to analyse genome-wide association studies (GWAS) of single-nucleotide polymorphisms (SNPs) and disease outcomes with cohort and case-cohort ...

In the final article of a three-part series, the authors discuss how to present a design space and evaluate its graphical representation. Parts I and II of this article appeared in the July and August ...