An important part of hospital information systems (HIS) evaluation is the quality assessment of its architecture, i.e. the structure of its IT infrastructure. Therefore, quantitative architectural quality criteria are needed. On the basis of relevant architectural components of a HIS defined by 3LGM2, the following quality criteria were defined: functional redundancy, functional under-saturatio...

Evaluation of research artefacts (such as models, frameworks and methodologies) is essential to determine their quality and demonstrate worth. However, in the IQ research domain there is no existing standard set of criteria available for researchers to use to evaluate their IQ artefacts. This paper therefore describes our experience of selecting and synthesizing a set of evaluation criteria use...

This article looks at quantitative measures of conformity degree of received and transmitted information messages, selected depending on message nature, and defines main approaches to assessment of information systems interference immunity. Author analyzed peculiarities of information receiving depending on signals purposes on stages of signal detection, sorting out of signals and message recov...

We investigate van Rijsbergen’s -measure, break-even point, and 11-point averaged precision, all of which can be translated into 1-dimensional scalar quantity from the precision and the recall. These investigations can be done by comparing to tetrachoric (four-fold) correlation coefficient and phi (four-fold point) coefficient, which are often used as the index of statistical association in a 2...

The evaluation of information systems development methodologies is becoming increasingly important. The lack of a commonly acceptable set of criteria for evaluation, however, hinders aggregating knowledge from field studies. Our study attempts to fill the gap. To reduce the effects of subjectivity, we surveyed the opinions of a group (28) of experienced IS researchers. Fifty-one criteria were g...

This paper deals with Bayesian models given by statistical experiments and standard loss functions. Bayes probability of error and Bayes risk are estimated by means of classical and generalized information criteria applicable to the experiment. The accuracy of the estimation is studied. Among the information criteria studied in the paper is the class of posterior power entropies which includes ...

Model selection is the problem of distinguishing competing models, perhaps featuring different numbers of parameters. The statistics literature contains two distinct sets of tools, those based on information theory such as the Akaike Information Criterion (AIC), and those on Bayesian inference such as the Bayesian evidence and Bayesian Information Criterion (BIC). The Deviance Information Crite...

A general information criterion with a general penalty which depends on the size of samples is developed for nested and non-nested models in the context of inequality constraints. The true parameters may be defined by a specified parametric model, or a set of specified estimating functions. When the true parameters are defined by estimating functions, we use the empirical likelihood approach to...

This report constitutes an unrefereed manuscript which is intended to be submitted for publication. Any opinions and conclusions expressed in this report are those of the author(s) and do not necessarily represent the views of the Institute. This paper deals with Bayesian models given by statistical experiments and common types of loss functions. Probability of error of the Bayes identificator ...