Issues in Robustness Analysis

Robustness issues in multilevel regression analysis

A multilevel problem concerns a population with a hierarchical structure. A sample from such a population can be described as a multistage sample. First, a sample of higher level units is drawn (e.g. schools or organizations), and next a sample of the sub-units from the available units (e.g. pupils in schools or employees in organizations). In such samples, the individual observations are in ge...

Robustness Issues in

Issues in Bayesian Loss Robustness

Bayesian robustness has concentrated mainly on checking sensitivity of a Bayesian analysis with respect to changes in the prior or the model. We deal here with several issues concerning robust Bayesian analysis with respect to the loss function. Stemming from foundational results, we suggest that a main computational objective would be the obtainment of the set of nondominated alternatives. We ...

On Some Robustness Issues in Input Design

It is commonly believed that solutions to optimal input design problems for identification of dynamical systems often are sensitive to the underlying assumptions. For example, a wide class of problems can be solved with sinusoidal inputs with the same number of excitation frequencies (over the frequency range (−π,π]) as number of estimated parameters. With such an input it is not possible to ch...

Reliability, Scalability and Robustness Issues in IRI*

Over the past two years, we have used the IRI (Interactive Remote Instruction) system to teach several live interactive classes with students in different cities. While this system is a prototype we are using it to better understand both system performance requirements and what tools can be effective for remote instruction and how to use them we have used it repeatedly to teach regularly schedu...