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1. |
Record Nr. |
UNINA9910461618403321 |
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Titolo |
Children without a state [[electronic resource] ] : a global human rights challenge / / edited by Jacqueline Bhabha |
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Pubbl/distr/stampa |
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Cambridge, Mass., : MIT Press, c2011 |
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ISBN |
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1-283-11905-6 |
9786613119056 |
0-262-29543-1 |
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Descrizione fisica |
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1 online resource (393 p.) |
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Altri autori (Persone) |
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Disciplina |
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Soggetti |
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Immigrant children - Civil rights |
Immigrant children - Legal status, laws, etc |
Human rights |
Electronic books. |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Cover; Contents; Foreword; Preface; 1 From Citizen to Migrant; I Legal Statelessness; 2 Neither Seen nor Heard; 3 Volatile Citizenship or Statelessness?; 4 Human Rights and Citizenship; II De Facto Statelessness; 5 Undocumented Children in Europe; 6 Realizing the Rights of Undocumented Children in Europe; 7 Unaccompanied and Separated Children in Spain; 8 Undocumented Migrant and Roma Children in Italy; 9 Undocumented Students, College Education, and Life Beyond; 10 Clashing Values and Cross Purposes; 11 Birthright Citizenship; III Effective Statelessness; 12 China |
13 To Register or Not to Register?14 Children with a (Local) State; Suggested Reading; Contributors; Index |
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Sommario/riassunto |
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This text identifies three contemporary manifestations of stateless: legal statelessness, de facto statelessness and effective statelessness. The book provides a variety of examples, including chapters on Palestinian children in Israel including undocumented young people seeking higher education in the United States. |
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2. |
Record Nr. |
UNISA996418190803316 |
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Titolo |
Advanced Studies in Behaviormetrics and Data Science [[electronic resource] ] : Essays in Honor of Akinori Okada / / edited by Tadashi Imaizumi, Atsuho Nakayama, Satoru Yokoyama |
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Pubbl/distr/stampa |
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Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020 |
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ISBN |
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Edizione |
[1st ed. 2020.] |
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Descrizione fisica |
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1 online resource (XV, 472 p. 136 illus., 69 illus. in color.) |
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Collana |
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Behaviormetrics: Quantitative Approaches to Human Behavior, , 2524-4027 ; ; 5 |
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Disciplina |
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Soggetti |
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Statistics |
Motivation research (Marketing) |
Mathematics |
Visualization |
Social sciences |
Psychometrics |
Statistics for Social Sciences, Humanities, Law |
Statistical Theory and Methods |
Consumer Behavior |
Methodology of the Social Sciences |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Co-clustering for object by variable data matrices -- How to use the Hermitian Form Model for asymmetric MDS -- Asymmetric scaling models for square contingency tables: points, circles, arrows, and odds ratios -- Comparing partitions of the Petersen graph -- Minkowski distances and standardisation for clustering and classification on high dimensional data. . |
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Sommario/riassunto |
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This book focuses on the latest developments in behaviormetrics and data science, covering a wide range of topics in data analysis and related areas of data science, including analysis of complex data, analysis of qualitative data, methods for high-dimensional data, dimensionality reduction, visualization of such data, multivariate statistical methods, analysis of asymmetric relational data, and various |
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applications to real data. In addition to theoretical and methodological results, it also shows how to apply the proposed methods to a variety of problems, for example in consumer behavior, decision making, marketing data, and social network structures. Moreover, it discuses methodological aspects and applications in a wide range of areas, such as behaviormetrics; behavioral science; psychology; and marketing, management and social sciences. Combining methodological advances with real-world applications collected from a variety of research fields, the book is a valuable resource for researchers and practitioners, as well as for applied statisticians and data analysts. . |
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