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1. |
Record Nr. |
UNINA9910815840203321 |
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Autore |
Carey Henry F. <1953-> |
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Titolo |
Understanding international law through moot courts : genocide, torture, habeas corpus, chemical weapons, and the responsibility to protect / / Henry F. Carey and Stacey M. Mitchell |
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Pubbl/distr/stampa |
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Lanham, Maryland : , : Lexington Books, , 2014 |
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©2014 |
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ISBN |
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Descrizione fisica |
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1 online resource (386 p.) |
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Disciplina |
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Soggetti |
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International criminal law - Study and teaching |
Moot courts |
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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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Nota di contenuto |
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UNDERSTANDING INTERNATIONAL LAW THROUGH MOOT COURTS; Contents; 1. Crucial Topics for International Law Analysis, Debate, and Moot Courts; 2. The ""Turn to Protection"": International Human Rights Law/International Humanitarian Law and the Implications of their Convergence; 3. Alleged Genocide and Failure to Prevent and Punish Genocide: Nolandia versus Notoria and Idealia; 4. Responsibility to Protect: Prosecutor versus Marmyan President; 5. The Necessity Defense to the Criminal Use of Chemical Weapons: Prosecutor versus the Head of State, Post-War Country |
6. Authorizing the Use of Torture for Interrogation: Prosecutor versus the Ministers of Defense and Justice7. Suspending Habeas Corpus during the War against Terrorism: Middle Eastern Country versus Western Country; Index; About the Contributors |
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Sommario/riassunto |
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Understanding International Law through Moot Courts: Genocide, Torture, Habeas Corpus, Chemical Weapons, and the Responsibility to Protect analyzes five moot court cases held before the International Court of Justice and the International Criminal Court. These cases offer insight on the international law pertaining to habeas corpus, genocide, the responsibility to protect, chemical weapons, and torture. |
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2. |
Record Nr. |
UNINA9910364956003321 |
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Autore |
Coelho Carlos A |
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Titolo |
Finite Form Representations for Meijer G and Fox H Functions : Applied to Multivariate Likelihood Ratio Tests Using Mathematica®, MAXIMA and R / / by Carlos A. Coelho, Barry C. Arnold |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
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ISBN |
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Edizione |
[1st ed. 2019.] |
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Descrizione fisica |
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1 online resource (xviii, 515 pages) |
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Collana |
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Lecture Notes in Statistics, , 2197-7186 ; ; 223 |
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Disciplina |
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519.5 |
519.24 (edition:23) |
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Soggetti |
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Statistics |
Mathematical statistics - Data processing |
Statistical Theory and Methods |
Statistics and Computing |
Applied Statistics |
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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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Preface -- Setting the Scene -- The Meijer G and Fox H Functions -- Multiple Products of Independent Beta Random Variables with Finite Form Representations for Their Distributions -- Finite Form Representations for Extended Instances of Meijer G and Fox H Functions -- Application of the Finite Form Representations of Meijer G and Fox H Functions to the Distribution of Several Likelihood Ratio Test Statistics -- Mathematica, MAXIMA and R Packages to Implement the Likelihood Ratio Tests and Compute the Distributions in the Previous Chapter -- Approximate Finite Forms for the Cases not Covered by the Finite Representation Approach -- Index. |
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Sommario/riassunto |
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This book depicts a wide range of situations in which there exist finite form representations for the Meijer G and the Fox H functions. Accordingly, it will be of interest to researchers and graduate students who, when implementing likelihood ratio tests in multivariate analysis, would like to know if there exists an explicit manageable finite form for the distribution of the test statistics. In these cases, both the exact |
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quantiles and the exact p-values of the likelihood ratio tests can be computed quickly and efficiently. The test statistics in question range from common ones, such as those used to test e.g. the equality of means or the independence of blocks of variables in real or complex normally distributed random vectors; to far more elaborate tests on the structure of covariance matrices and equality of mean vectors. The book also provides computational modules in Mathematica®, MAXIMA and R, which allow readers to easily implement, plot and compute the distributions of any of these statistics, or any other statistics that fit into the general paradigm described here. |
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