in this paper, a formal model for antivirus update agent system is presented based on mobile agent technology and predicate/transition petri nets. the mobile agent system contains two mobile agents called dca and una. it sends out agents to update antivirus on client computers in a network. each agent takes on a specified responsibility. first, dca roams through the network and check the last d...

there are several theorical results about order statistics and copulas in the literature that have  been mentioned also by nelsen cite{p20}. the present study after reviewing some of these results, relies on  simulation technique to investigate the mentioned results about order statistics and copulas. the study concentrates on two well known archimedean gumbel and frank families in the case tha...

We consider the problem of classification using similarity/distance functions over data. Specifically, we propose a framework for defining the goodness of a (dis)similarity function with respect to a given learning task and propose algorithms that have guaranteed generalization properties when working with such good functions. Our framework unifies and generalizes the frameworks proposed by [1]...

I investigate the use of Pearson’s chi-square statistic, the Maximum Likelihood Ratio statistic for Poisson distributions, and the chi-square-gamma statistic (Mighell 1999, ApJ, 518, 380) for the determination of the goodness-of-fit between theoretical models and low-count Poisson-distributed data. I demonstrate that these statistics should not be used to determine the goodness-of-fit with data...

Maximum likelihood fits to data can be performed using binned data and unbinned data. The likelihood fits in either case produce only the fitted quantities but not the goodness of fit. With binned data, one can obtain a measure of the goodness of fit by using the χ2 method, after the maximum likelihood fitting is performed. With unbinned data, currently, the fitted parameters are obtained but n...

In this paper we address the problem of nding the best viewpoints for three-dimensional straight-line graph drawings. We deene goodness in terms of preserving the relational structure of the graph, and develop two continuous measures of goodness under orthographic parallel projection. We develop Voronoi variants to nd the best viewpoints under these measures, and present results on the complexi...

Latent Dirichlet Allocation is a generative topic model for text. In this report, we implement collapsed Gibbs sampling to learn the topic model. We test our implementation on two data sets: classic400 and Psychological Abstract Review. We also discuss the different evaluation of goodness-of-fit of the models how parameter settings interact with the goodness-of-fit.

For goodness-of-fit tests for a model (distribution) admitting nuisance location or scale parameters, second-order asymptotic distributional representations are exploited for some robust estimators that are asymptotically first-order equivalent; their difference then provides a goodness-of-fit test criterion, whose asymptotic properties are studied under the null hypothesis as well as under loc...

The Beauty-is-Good stereotype refers to the assumption that attractive people possess sociably desirable personalities and higher moral standards. The existence of this bias suggests that the neural mechanisms for judging facial attractiveness and moral goodness overlap, i.e., they are circumscribed to the same brain regions. The hypothesis of this overlap was investigated by Tsukiura and Cabez...

An increasingly important problem in the era of Big Data is fitting data to distributions. However, many stop at visually inspecting the fits or use the coefficient of determination as a measure of the goodness of fit. In general, goodness-of-fit measures do not allow us to tell which of several distributions fit the data best. Also, the likelihood of drawing the data from a distribution can be...