Pub Date : 2019-03-06DOI: 10.1002/9781119579465.CH9
M. Symeonaki, M. Karamessini, Glykeria Stamatopoulou
{"title":"Measuring Labor Market Transition Probabilities in Europe with Evidence from the EU-SILC","authors":"M. Symeonaki, M. Karamessini, Glykeria Stamatopoulou","doi":"10.1002/9781119579465.CH9","DOIUrl":"https://doi.org/10.1002/9781119579465.CH9","url":null,"abstract":"","PeriodicalId":175515,"journal":{"name":"Data Analysis and Applications 2","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127411166","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-03-06DOI: 10.1002/9781119579465.CH5
Eleni Ketzaki, Stavros Rallakis, N. Farmakis, E. Sartzetakis
{"title":"Monitoring the Compliance of Countries on Emissions Mitigation Using Dissimilarity Indices","authors":"Eleni Ketzaki, Stavros Rallakis, N. Farmakis, E. Sartzetakis","doi":"10.1002/9781119579465.CH5","DOIUrl":"https://doi.org/10.1002/9781119579465.CH5","url":null,"abstract":"","PeriodicalId":175515,"journal":{"name":"Data Analysis and Applications 2","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130201738","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-03-06DOI: 10.1002/9781119579465.CH1
F. Nicolussi, M. Cazzaro
The study of (in)dependence relationships among a set of categorical variables collected in a contingency table is an amply topic. In this work we want to focus on the so called context-specific independence where the conditional independence holds only in a subspace of the outcome space. The main aspects that we introduce concern the definition in the same model of marginal, conditional and context-specific independencies, through the marginal models. Furthermore, we investigate how it is possible to test these context-specific independencies when there are ordinal variables. Finally, we propose a graphical representation of all the considered independencies taking advantages from the chain graph model. We show the results on an application on ”The Italian Innovation Survey” of Istat (2012).
{"title":"Context-specific Independence in Innovation Study","authors":"F. Nicolussi, M. Cazzaro","doi":"10.1002/9781119579465.CH1","DOIUrl":"https://doi.org/10.1002/9781119579465.CH1","url":null,"abstract":"The study of (in)dependence relationships among a set of categorical variables collected in a contingency table is an amply topic. In this work we want to focus on the so called context-specific independence where the conditional independence holds only in a subspace of the outcome space. The main aspects that we introduce concern the definition in the same model of marginal, conditional and context-specific independencies, through the marginal models. Furthermore, we investigate how it is possible to test these context-specific independencies when there are ordinal variables. Finally, we propose a graphical representation of all the considered independencies taking advantages from the chain graph model. We show the results on an application on ”The Italian Innovation Survey” of Istat (2012).","PeriodicalId":175515,"journal":{"name":"Data Analysis and Applications 2","volume":"170 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114923108","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-03-06DOI: 10.1002/9781119579465.CH11
V. Girardin, J. Lequesne, O. Thévenon
{"title":"How Variation of Scores of the Programme for International Student Assessment can be Explained through Analysis of Information","authors":"V. Girardin, J. Lequesne, O. Thévenon","doi":"10.1002/9781119579465.CH11","DOIUrl":"https://doi.org/10.1002/9781119579465.CH11","url":null,"abstract":"","PeriodicalId":175515,"journal":{"name":"Data Analysis and Applications 2","volume":"116 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117204310","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-03-06DOI: 10.1002/9781119579465.CH3
Pilar Valderrama, M. Escabias, E. Jiménez-Contreras, M. Valderrama, P. Baca
{"title":"Bibliometric Variables Determining the Quality of a Dentistry Journal","authors":"Pilar Valderrama, M. Escabias, E. Jiménez-Contreras, M. Valderrama, P. Baca","doi":"10.1002/9781119579465.CH3","DOIUrl":"https://doi.org/10.1002/9781119579465.CH3","url":null,"abstract":"","PeriodicalId":175515,"journal":{"name":"Data Analysis and Applications 2","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125949966","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-03-06DOI: 10.1002/9781119579465.CH6
Yiannis Dimotikalis
{"title":"Maximum Entropy and Distributions of Five-Star Ratings","authors":"Yiannis Dimotikalis","doi":"10.1002/9781119579465.CH6","DOIUrl":"https://doi.org/10.1002/9781119579465.CH6","url":null,"abstract":"","PeriodicalId":175515,"journal":{"name":"Data Analysis and Applications 2","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125967500","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-03-06DOI: 10.1002/9781119579465.CH2
Cátia Rosário, A. Costa, Ana Lorga da Silva
{"title":"Analysis of the Determinants and Outputs of Innovation in the Nordic Countries","authors":"Cátia Rosário, A. Costa, Ana Lorga da Silva","doi":"10.1002/9781119579465.CH2","DOIUrl":"https://doi.org/10.1002/9781119579465.CH2","url":null,"abstract":"","PeriodicalId":175515,"journal":{"name":"Data Analysis and Applications 2","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131835249","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-03-06DOI: 10.1002/9781119579465.CH4
J. Komorník, M. Komorníková, T. Bacigál
{"title":"Analysis of Dependence among Growth Rates of GDP of V4 Countries Using Four-dimensional Vine Copulas","authors":"J. Komorník, M. Komorníková, T. Bacigál","doi":"10.1002/9781119579465.CH4","DOIUrl":"https://doi.org/10.1002/9781119579465.CH4","url":null,"abstract":"","PeriodicalId":175515,"journal":{"name":"Data Analysis and Applications 2","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129880550","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-03-06DOI: 10.1002/9781119579465.CH12
Rafik Abdesselam
In this paper, we propose a new discriminant approach, called Topological Discriminant Analysis, which use a proximity measure in a topological context. The results of any operation of clustering or classification of objects strongly depend on the proximity measure chosen. The user has to select one measure among many existing ones. Yet, from a discrimination point of view, according to the notion of topological equivalence chosen, some measures are more or less equivalent. The concept of topological equivalence uses the basic notion of local neighborhood. In a discrimination context, we first define the topological equivalence between the chosen proximity measure and the perfect discrimination measure adapted to the data considered, through the adjacency matrix induced by each measure, then propose a new topological method of discrimination using this selected proximity measure. To judge the quality of discrimination, in addition to the classical percentage of objects well classified, we define a criterion for topological equivalence of discrimination. The principle of the proposed approach is illustrated using a real data set with conventional proximity measures of literature for quantitative variables. The results of the proposed Topological Discriminant Analysis, associated to the “best” discriminating proximity measure, are compared with those of classical metric models of discrimination, Linear Discriminant Analysis and Multinomial Logistic Regression.
{"title":"A Topological Discriminant Analysis","authors":"Rafik Abdesselam","doi":"10.1002/9781119579465.CH12","DOIUrl":"https://doi.org/10.1002/9781119579465.CH12","url":null,"abstract":"In this paper, we propose a new discriminant approach, called Topological Discriminant Analysis, which use a proximity measure in a topological context. The results of any operation of clustering or classification of objects strongly depend on the proximity measure chosen. The user has to select one measure among many existing ones. Yet, from a discrimination point of view, according to the notion of topological equivalence chosen, some measures are more or less equivalent. The concept of topological equivalence uses the basic notion of local neighborhood. In a discrimination context, we first define the topological equivalence between the chosen proximity measure and the perfect discrimination measure adapted to the data considered, through the adjacency matrix induced by each measure, then propose a new topological method of discrimination using this selected proximity measure. To judge the quality of discrimination, in addition to the classical percentage of objects well classified, we define a criterion for topological equivalence of discrimination. The principle of the proposed approach is illustrated using a real data set with conventional proximity measures of literature for quantitative variables. The results of the proposed Topological Discriminant Analysis, associated to the “best” discriminating proximity measure, are compared with those of classical metric models of discrimination, Linear Discriminant Analysis and Multinomial Logistic Regression.","PeriodicalId":175515,"journal":{"name":"Data Analysis and Applications 2","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133671238","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-03-06DOI: 10.1002/9781119579465.CH8
M. Symeonaki, M. Karamessini, Glykeria Stamatopoulou
{"title":"Gender-Based Differences in the Impact of the Economic Crisis on Labor Market Flows in Southern Europe","authors":"M. Symeonaki, M. Karamessini, Glykeria Stamatopoulou","doi":"10.1002/9781119579465.CH8","DOIUrl":"https://doi.org/10.1002/9781119579465.CH8","url":null,"abstract":"","PeriodicalId":175515,"journal":{"name":"Data Analysis and Applications 2","volume":"141 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123248069","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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