Showing papers by "William G. Hunter published in 1984"
TL;DR: In this article, the authors review major developments in the design of experiments, offer their thoughts on important directions for the future, and make specific recommendations for experimenters and statisticians who are students and teachers of experimental design.
Abstract: We review major developments in the design of experiments, offer our thoughts on important directions for the future, and make specific recommendations for experimenters and statisticians who are students and teachers of experimental design, practitioners of experimental design, and researchers jointly exploring new frontiers. Specific topics covered are optimal design, computer-aided design, robust design, response surface design, mixture design, factorial design, block design, and designs for nonlinear models.
293 citations
01 Jan 1984
TL;DR: The role of statistics in chemistry is discussed in this paper, where model-building and Bayesian analysis are briefly described and a bayesian analysis of the linear calibration problem is presented.
Abstract: Statistics is the study of how we learn from data: how data can be collected efficiently and analyzed effectively. In this paper, the role of statistics in chemistry is discussed. After model-building and Bayesian analysis are briefly described, a Bayesian analysis of the linear calibration problem is presented.
5 citations
2 citations