1,721,266 research outputs found
On the statistical design of parameters for variables sampling plans based on process capability index Cpk
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Développement de procédures de suivi statistique de données compositionnelles
La Maîtrise Statistique des Procédés (MSP) est une méthodologie largement utilisée, basée sur la mise en oeuvre des cartes de contrôle, permettant de s'assurer de la stabilité du processus et d'améliorer sa capabilité grâce à la réduction de la variabilité du processus. La sélection d'une carte de contrôle appropriée dépend du type et de la distribution des données. Lorsqu'il existe plusieurs caractéristiques de qualité, des cartes de contrôle multivariées doivent être adoptées. Mais il existe une catégorie spécifique de données multivariées qui sont contraintes par définition et connues sous le nom de données compositionnelles (CoDa). Le but de cette thèse est de proposer et d'étudiersystématiquement de nouvelles cartes de contrôle pour les données compositionnelles qui n'ont pas encore été proposées jusqu'à présent dans la littérature. La carte de contrôle de Hotelling T2-CoDa en présence d'erreur de mesure et la carte de contrôle MEWMA-CoDa en présence d'erreur de mesure ont été proposées surveiller des données compositionnelles. En outre, certaines méthodes non paramétriques pour la surveillace de données compositionnelles ont également été proposés. Les performances de chaque carte de contrôle ont été étudiées et les paramètres optimaux ont été systématiquement évalués. Des exemples de données compositionnelles réelles ont été utilisés afin d'étudier les performances des cartes proposées.Statistical Process Monitoring (SPM) is a widely used methodology, based on the implementation of control charts, for achieving process stability and improving capability through the reduction of the process variability. The selection of a suitable control chart depends on the type and distribution of he data. When there are several quality characteristics, multivariate control charts have to be adopted. But there is a specific category of multivariate data which are constrained by definition and known as Compositional Data (CoDa). This thesis makes an attempt to systematically propose new control charts for the for compositional data that have not yet been proposed so far in the literature. Hotelling T2-CoDa control chart in the presence of measurement error and MEWMACoDa control chart in the presence of measurement error has been proposed for compositional data. Furthermore, some nonparametric charts to monitor compositional data has also been proposed. The performance of each control chart has been studied and the optimal parameters have systematically been evaluated. Real life compositional data examples have been used in order to study the performances of the proposed charts
Variations on the Author
“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Monitoring of mixture type processes
Dans tous les secteurs industriels, la Maîtrise Statistique des Procédés (MSP) est une méthode de suivi de la production basée sur les statistiques. Parmi les outils de la MSP, les cartes de contrôle sont des outils très utiles pour la détection et l’élimination des causes assignables modifiant le processus. Il existe des processus de production où plusieurs composants doivent être mélangés ensemble pour obtenir une composition de produit. Dans ce cas, il est nécessaire de surveiller des ratios de variables qualité lorsque les professionnels de qualité sont principalement intéressés à la comparaison relative de la même propriété pour les deux composants. Dans cette thèse, nous avons essayé de proposer systématiquement de nouvelles cartes de contrôle pour le ratio et pour des données de type composition qui n’ont pas encore été traitées jusqu’à présent dans la littérature. Des cartes de contrôle avec règles supplémentaires, des cartes EWMA, des cartes CUSUM et une carte de contrôle de type Shewhart en prenant en compte les erreurs de mesure sont proposées pour le ratio. De plus, une carte de type MEWMA pour surveiller des données de type composition est aussi proposée. Les performances de chacune des cartes de contrôle ont été évaluées et les paramètres optimaux ont été systématiquement calculés. Une validation empirique des résultats a été élaborée dans des processus industriels existants.In industry, Statistical Process Control (SPC) is a set of statistical techniques to monitor, control and improve a process. Among SPC tools, control charts are very useful tools for the detection and the elimination of assignable causes shifting the process. There exist manufacturing environments where several components have to be mixed together to obtain a product composition. In this case, it is necessary to monitor ratios of quality variables when quality practitioners are interested in the relative comparison of the same property for two components. In this thesis, we have tried to systematically propose new control charts for the ratio and for compositional data that have not yet been proposed so far in the literature. Run rules control charts, EWMA control charts, CUSUM control charts and a Shewhart control chart in the presence of measurement error have been proposed for monitoring the ratio. Furthermore, a MEWMA control chart to monitor compositional data has also been proposed. The performance of each control chart has been evaluated and the optimal parameters have systematically been computed. An empirical validation of the results has been developed for real industrial processes
Dispelling the Myths Behind First-author Citation Counts
We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
koamabayili/VECTRON-author-checklist: VECTRON author checklist
We have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
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