. "Rejection sampling"@it . . . . . . "502022"^^ . . "Die Verwerfungsmethode (auch Acceptance-Rejection-Verfahren; engl. rejection sampling) ist eine Methode, um aus gleichverteilten Zufallszahlen andere Wahrscheinlichkeitsverteilungen zu erzeugen. Sie geht auf John von Neumann zur\u00FCck. Sie kann genutzt werden, wenn die Inversion der Verteilungsfunktion nicht m\u00F6glich oder zu aufwendig ist."@de . . "25307"^^ . "\uC218\uD559\uC5D0\uC11C \uB9AC\uC81D\uC158 \uC0D8\uD50C\uB9C1(rejection sampling)\uC740 \uBD84\uD3EC\uC5D0\uC11C \uD45C\uBCF8\uC744 \uD45C\uC9D1\uD558\uB294 \uAE30\uBCF8\uC801\uC778 \uAE30\uBC95\uC774\uB2E4. \uC774\uB294 \uBAAC\uD14C\uCE74\uB97C\uB85C \uBC29\uBC95 \uC911\uC758 \uD558\uB098\uB85C, \\mathbb {R} ^{m}\uC5D0\uC11C \uD655\uB960 \uBC00\uB3C4\uB97C \uAC16\uB294 \uBD84\uD3EC\uC5D0 \uBAA8\uB450 \uC801\uC6A9\uB420 \uC218 \uC788\uB2E4. \uB9AC\uC81D\uC158 \uC0D8\uD50C\uB9C1 \uAE30\uBC95\uC740 2\uCC28\uC6D0 \uD3C9\uBA74\uC5D0\uC11C \uADE0\uC77C\uD55C \uC0D8\uD50C\uC744 \uC0D8\uD50C\uB9C1\uD55C \uD6C4\uC5D0 \uBD84\uD3EC\uC758 \uBC00\uB3C4 \uD568\uC218\uC758 \uC9C0\uC9C0\uC9D1\uD569\uC5D0 \uD574\uB2F9\uD558\uB294 \uD45C\uBCF8\uB4E4\uC744 \uC120\uD0DD\uC801\uC73C\uB85C \uB0A8\uAE30\uB294 \uAE30\uBC95\uC774\uB77C\uACE0 \uBCFC \uC218 \uC788\uB2E4. \uC774 \uAD00\uC810\uC740 N-\uCC28\uC6D0\uC5D0 \uBAA8\uB450 \uC801\uC6A9\uB420 \uC218 \uC788\uB2E4."@ko . . "M\u00E9thode de rejet"@fr . . . "In numerical analysis and computational statistics, rejection sampling is a basic technique used to generate observations from a distribution. It is also commonly called the acceptance-rejection method or \"accept-reject algorithm\" and is a type of exact simulation method. The method works for any distribution in with a density. Rejection sampling is based on the observation that to sample a random variable in one dimension, one can perform a uniformly random sampling of the two-dimensional Cartesian graph, and keep the samples in the region under the graph of its density function. Note that this property can be extended to N-dimension functions."@en . . "In analisi numerica e in statistica computazionale, rejection sampling \u00E8 una tecnica di base utilizzata per generare osservazioni da una distribuzione . \u00C8 anche comunemente chiamato il metodo di acceptant-rejection o \"algoritmo di accept-rejection\". Rejection sampling si basa sul fatto che, per campionare una variabile casuale in una dimensione, si pu\u00F2 eseguire un campionamento uniformemente casuale del grafico cartesiano bidimensionale e mantenere i campioni nella regione sotto il grafico della sua funzione di densit\u00E0. Si noti che questa propriet\u00E0 pu\u00F2 essere estesa a funzioni in N-dimensioni."@it . . . "La m\u00E9thode du rejet est une m\u00E9thode utilis\u00E9e dans le domaine des probabilit\u00E9s."@fr . . "\uB9AC\uC81D\uC158 \uC0D8\uD50C\uB9C1"@ko . . . . . "1116989498"^^ . . . . "In numerical analysis and computational statistics, rejection sampling is a basic technique used to generate observations from a distribution. It is also commonly called the acceptance-rejection method or \"accept-reject algorithm\" and is a type of exact simulation method. The method works for any distribution in with a density."@en . . . "In analisi numerica e in statistica computazionale, rejection sampling \u00E8 una tecnica di base utilizzata per generare osservazioni da una distribuzione . \u00C8 anche comunemente chiamato il metodo di acceptant-rejection o \"algoritmo di accept-rejection\". Rejection sampling si basa sul fatto che, per campionare una variabile casuale in una dimensione, si pu\u00F2 eseguire un campionamento uniformemente casuale del grafico cartesiano bidimensionale e mantenere i campioni nella regione sotto il grafico della sua funzione di densit\u00E0. Si noti che questa propriet\u00E0 pu\u00F2 essere estesa a funzioni in N-dimensioni."@it . . "\uC218\uD559\uC5D0\uC11C \uB9AC\uC81D\uC158 \uC0D8\uD50C\uB9C1(rejection sampling)\uC740 \uBD84\uD3EC\uC5D0\uC11C \uD45C\uBCF8\uC744 \uD45C\uC9D1\uD558\uB294 \uAE30\uBCF8\uC801\uC778 \uAE30\uBC95\uC774\uB2E4. \uC774\uB294 \uBAAC\uD14C\uCE74\uB97C\uB85C \uBC29\uBC95 \uC911\uC758 \uD558\uB098\uB85C, \\mathbb {R} ^{m}\uC5D0\uC11C \uD655\uB960 \uBC00\uB3C4\uB97C \uAC16\uB294 \uBD84\uD3EC\uC5D0 \uBAA8\uB450 \uC801\uC6A9\uB420 \uC218 \uC788\uB2E4. \uB9AC\uC81D\uC158 \uC0D8\uD50C\uB9C1 \uAE30\uBC95\uC740 2\uCC28\uC6D0 \uD3C9\uBA74\uC5D0\uC11C \uADE0\uC77C\uD55C \uC0D8\uD50C\uC744 \uC0D8\uD50C\uB9C1\uD55C \uD6C4\uC5D0 \uBD84\uD3EC\uC758 \uBC00\uB3C4 \uD568\uC218\uC758 \uC9C0\uC9C0\uC9D1\uD569\uC5D0 \uD574\uB2F9\uD558\uB294 \uD45C\uBCF8\uB4E4\uC744 \uC120\uD0DD\uC801\uC73C\uB85C \uB0A8\uAE30\uB294 \uAE30\uBC95\uC774\uB77C\uACE0 \uBCFC \uC218 \uC788\uB2E4. \uC774 \uAD00\uC810\uC740 N-\uCC28\uC6D0\uC5D0 \uBAA8\uB450 \uC801\uC6A9\uB420 \uC218 \uC788\uB2E4."@ko . . . . . . . "Rejection sampling"@en . . . . . . . . . "Die Verwerfungsmethode (auch Acceptance-Rejection-Verfahren; engl. rejection sampling) ist eine Methode, um aus gleichverteilten Zufallszahlen andere Wahrscheinlichkeitsverteilungen zu erzeugen. Sie geht auf John von Neumann zur\u00FCck. Sie kann genutzt werden, wenn die Inversion der Verteilungsfunktion nicht m\u00F6glich oder zu aufwendig ist."@de . . . . . . . . . . . . . . . . . "La m\u00E9thode du rejet est une m\u00E9thode utilis\u00E9e dans le domaine des probabilit\u00E9s."@fr . . "Verwerfungsmethode"@de .