Showing 1 - 8 of 8
Accurate theoretical modelling and simulation of thermal energy storage (TES) by means of phase change materials (PCM) is very complex and its results are not close enough to experimental values. This paper presents the empirical study of a thermal storage unit operating with a commercial PCM...
Persistent link: https://www.econbiz.de/10005458118
Randomizing the order of experimentation in a factorial design does not always achieve the desired effect of neutralizing the influence of unknown factors. In fact, with some very reasonable assumptions, an important proportion of random orders afford the same degree of protection as that...
Persistent link: https://www.econbiz.de/10005458345
Randomizing the order of experimentation in a factorial design does not always achieve the desired effect of neutralizing the influence of unknown factors. In fact, with some very reasonable assumptions, an important proportion of random orders achieve the same degree of protection as that...
Persistent link: https://www.econbiz.de/10004966818
In this article, we present a study carried out to compare the effectiveness of the normal probability plot (NPP) and a simple dot plot in assessing the significance of the effects in experimental designs with factors at two levels (2k-p designs). Several groups of students who had just...
Persistent link: https://www.econbiz.de/10008773829
across all candidate models. It is, therefore, applicable to analyses whose goal is prediction, or where a set of common …
Persistent link: https://www.econbiz.de/10005492067
Treating principal component analysis (PCA) and canonical variate analysis (CVA) as methods for approximating tables, we develop measures, collectively termed predictivity, that assess the quality of fit independently for each variable and for all dimensionalities. We illustrate their use with...
Persistent link: https://www.econbiz.de/10005495257
We developed a flexible non-parametric Bayesian model for regional disease-prevalence estimation based on cross-sectional data that are obtained from several subpopulations or clusters such as villages, cities, or herds. The subpopulation prevalences are modeled with a mixture distribution that...
Persistent link: https://www.econbiz.de/10005639842
Feedforward neural networks are often used in a similar manner as logistic regression models; that is, to estimate the probability of the occurrence of an event. In this paper, a probabilistic model is developed for the purpose of estimating the probability that a patient who has been admitted...
Persistent link: https://www.econbiz.de/10005141257