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1. |
Record Nr. |
UNINA9910457379903321 |
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Autore |
Wellman Christopher Heath |
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Titolo |
Debating the Ethics of Immigration [[electronic resource] ] : Is There a Right to Exclude? |
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Pubbl/distr/stampa |
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Oxford, : Oxford University Press, USA, 2011 |
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ISBN |
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1-283-42741-9 |
9786613427410 |
0-19-981357-4 |
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Descrizione fisica |
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1 online resource (349 p.) |
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Collana |
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Altri autori (Persone) |
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Disciplina |
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Soggetti |
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Emigration and immigration -- Moral and ethical aspects |
Immigrants -- Civil rights |
Emigration and immigration - Moral and ethical aspects |
Immigrants - Civil rights |
Political Science |
Law, Politics & Government |
Immigration & Emigration |
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 contenuto |
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Cover; Contents; Acknowledgements; Introduction; PART ONE: FREEDOM OF ASSOCIATION AND THE RIGHT TO EXCLUDE; 1. In Defense of the Right to Exclude; 2. The Egalitarian Case for Open Borders; 3. The Libertarian Case for Open Borders; 4. The Democratic Case for Open Borders; 5. The Utilitarian Case for Open Borders; 6. Refugees; 7. Toward an International Institution with Authority over Immigration; 8. Guest Workers; 9. Selection Criteria; 10. Conclusion; PART TWO: OPEN BORDERS: AN ETHICAL DEFENSE; 11. The Shape of the Debate; 12. The Case Against the Right to Exclude |
13. Wellman on Freedom of Association14. Consequentialist Concerns; 15. Toward a Right to Mobility; 16. Conclusion; Index; A; B; C; D; E; F; G; H; I; J; K; L; M; N; O; P; R; S; T; U; V; W; X; Y |
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Sommario/riassunto |
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Do states have the right to prevent potential immigrants from crossing their borders, or should people have the freedom to migrate and settle wherever they wish? Christopher Heath Wellman and Phillip Cole develop and defend opposing answers to this timely and important question. Appealing to the right to freedom of association, Wellman contends that legitimate states have broad discretion to exclude potential immigrants, even those who desperately seek to enter. Against this, Cole argues that the commitment to the moral equality of all human beings - which legitimate states can be expected to |
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2. |
Record Nr. |
UNINA9910254062103321 |
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Autore |
Berry Kenneth J. |
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Titolo |
Permutation Statistical Methods : An Integrated Approach / / by Kenneth J. Berry, Paul W. Mielke Jr., Janis E. Johnston |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 |
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ISBN |
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Edizione |
[1st ed. 2016.] |
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Descrizione fisica |
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1 online resource (XX, 622 p. 180 illus.) |
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Disciplina |
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Soggetti |
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Statistics |
Biometry |
Science - History |
Statistical Theory and Methods |
Biostatistics |
History of Science |
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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 bibliografia |
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Includes bibliographical references and indexes. |
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Nota di contenuto |
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Preface -- 1.Introduction -- 2.Completely Randomized Data -- 3.Randomized Designs: Interval Data -- 4.Regression Analysis of Interval Data -- 5.Randomized Designs: Ordinal Data, I -- 6.Randomized Designs: Ordinal Data, II -- 7.Randomized Designs: Nominal Data -- 8.Randomized Designs: Nominal Data -- 9.Randomized Block Designs: Interval Data -- 10.Randomized Block Designs: Ordinal Data -- 11. |
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Randomized Block Designs: Nominal Data -- Epilogue -- References -- Author Index -- Subject Index. |
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Sommario/riassunto |
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This research monograph provides a synthesis of a number of statistical tests and measures, which, at first consideration, appear disjoint and unrelated. Numerous comparisons of permutation and classical statistical methods are presented, and the two methods are compared via probability values and, where appropriate, measures of effect size. Permutation statistical methods, compared to classical statistical methods, do not rely on theoretical distributions, avoid the usual assumptions of normality and homogeneity of variance, and depend only on the data at hand. This text takes a unique approach to explaining statistics by integrating a large variety of statistical methods, and establishing the rigor of a topic that to many may seem to be a nascent field in statistics. This topic is new in that it took modern computing power to make permutation methods available to people working in the mainstream of research. This research monograph addresses a statistically-informed audience, and can also easily serve as a textbook in a graduate course in departments such as statistics, psychology, or biology. In particular, the audience for the book is teachers of statistics, practicing statisticians, applied statisticians, and quantitative graduate students in fields such as psychology, medical research, epidemiology, public health, and biology. |
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