Sensor Calibration Design Based on D-Optimality Criterion

Distance optimality design criterion in linear models

Properties of the most familiar optimality criteria, for example A-, Dand E-optimality, are well known, but the distance optimality criterion has not drawn much attention to date. In this paper properties of the distance optimality criterion for the parameter vector of the classical linear model under normally distributed errors are investigated. DS-optimal designs are derived for ®rst-order po...

[ Competitive optimality design based on subspace projections ]

adio regulatory bodies are recognizing that the rigid spectrum assignment granting exclusive use to licensed services is highly inefficient, due to the high variability of the traffic statistics across time, space, and frequency. Recent Federal Communications Commission (FCC) measurements show that, in fact, the spectrum usage is typically concentrated over certain portions of the spectrum, whi...

Opt- Design of Experiments for Sensor Calibration

In this paper we present a framework for the design of experiments for sensor calibration. The theoretical ideas, which are based on the mathematical theory of optimal design of experiments, are demonstrated using a new software program, I-OPT, which was developed by Crary, Snow, and Hoo.' This program has been used to find I-optimal designs for both a silicon capacitive absolute-pressure senso...

§6.3 D-Optimality Criterion for the Non-Bayesian Design Recall that the D-optimal design requires the maximization of the determinant of the information

An optimality criterion for the crossing number

A sufficient condition is given that a certain drawing minimizes the crossing number. The condition is in terms of intersections in an arbitrary set system related to the drawing, and is like a correlation inequality.