What question did this study set out to answer?

The aim is to establish criteria for designing experiments that optimize results and improve analytical methods.

November 1, 1993

Optimum Experimental Designs

Key Points

The aim is to establish criteria for designing experiments that optimize results and improve analytical methods.
Introduction of fundamental experimental strategies and models.
Analysis of blocking techniques and response surface designs.
Investigation of both qualitative and quantitative experimental factors.
Development of criteria for optimal design in experiments.
Insights into the failure and design augmentation of experiments.
Exploration of Bayesian methods for model discrimination.

Abstract

Part I. Fundamentals Introduction Some key ideas Experimental strategies The choice of a model Models and least squares Criteria for a good experiment Standard designs The analysis of experiments Part II. Theory and applications Optimum design theory Criteria of optimality Experiments with both qualitative and quantitative factors Blocking response surface designs Restricted region designs Failure of the experiment and design augmentation Non-linear models Optimum Bayesian design Discrimination between models Composite design criteria Further topics.

AI से पूछें

Bookmark

AI से पूछें

Bookmark

Optimum Experimental Designs

Key Points

Abstract

Cite This Study