Exergaming, a form of digital gaming that combines physical exercise and video games, has become increasingly common in recent years. Exergaming has also become a subject of growing interest among academic researchers. They can be used to motivate people towards more active and a healthier lifestyle. This study examines the adoption and habits of playing exergames, focusing especially on whethe...

Recently, two new indicators (Equalized Mean-based Normalized Proportion Cited, EMNPC, the Mean-based Normalized Proportion Cited, MNPC) were proposed which are intended for sparse data. We propose a third indicator (Mantel-Haenszel quotient, MHq) belonging to the same indicator family. The MHq is based on the MH analysis – an established method for polling the data from multiple 2×2 contingenc...

One of the issues regarding the misclassification in case-control studies is whether the misclassification error rates are the same for both cases and controls. Currently, a common practice is to assume that the rates are the same (“non-differential” assumption). However, it is suspicious that this assumption is valid in many case-control studies. Unfortunately, no test is available so far to t...

In this paper, an algorithm providing Maximum Likelihood estimates and their asymptotic covariance matrix for the parameters in correlation models and association models is proposed. It is based on a Fisher's scoring type algorithm using the asymptotic covariance matrix of Maximum Likelihood estimates whose expression is also given. The convergence of the proposed algorithm is generally quickly...

This paper highlights the interest of implicative statistics for classification trees. We start by showing how Gras’ implication index may be defined for the rules derived from an induced decision tree. Then, we show that residuals used in the modeling of contingency tables provide interesting alternatives to Gras’ index. We then consider two main usages of these indexes. The first is purely de...

This article reviews a number of statistical tests for comparing proportions. These statistical tests are presented in a comprehensive way, so that OR practitioners can easily understand them and correctly use them. A test for 2 · 2 contingency tables is developed and shown to be more powerful than other classical tests of the literature such as Fisher’s exact test. Tables with critical values ...

In the situation of interest, we want to classify an object into one of two categories, call them A and B, on the basis of the presence or absence of multiple features, call them F1, F2, . . .. A specific feature F is characterized by the probabilities with which it occurs (denoted +F ) or does not occur (denoted −F ) when the truth is actually A or B, respectively. In other words, we have the ...

Factors, obtained by correspondence analysis, are used to find biclustering of a contingency table such that the row–column cluster pairs are regular, i.e., they have small discrepancy. In our main theorem, the constant of the so-called volumeregularity is related to the SVD of the normalized contingency table. This result is applicable to two-way cuts when both the rows and columns are divided...