الفهرس الالي للمكتبة المركزية بجامعة عبد الحميد بن باديس - مستغانم
| Titre : |
Monte Carlo statistical methods |
| Type de document : |
texte imprimé |
| Auteurs : |
Christian P. Robert ; George Casella |
| Mention d'édition : |
2nd ed. |
| Editeur : |
New York : Springer |
| Année de publication : |
2004 |
| Importance : |
xxx, 645 p. |
| Présentation : |
ill. |
| Format : |
24 cm |
| ISBN/ISSN/EAN : |
0-387-21239-6 |
| Index. décimale : |
519.5 |
| Résumé : |
"Monte Carlo statistical methods, particularly those based on Markov chains, are now an essential component of the standard set of techniques used by statisticians. This new edition has been revised towards a coherent and flowing coverage of these simulation techniques, with incorporation of the most recent developments in the field. In particular the introductory coverage of random variable generation has been totally revised, with many concepts being unified through a fundamental theorem of simulation." "This textbook is intended for a second year graduate course, but will also be useful to someone who either wants to apply simulation techniques for the resolution of practical problems or wishes to grasp the fundamental principles behind those methods. The authors do not assume familiarity with Monte Carlo techniques (such as random variable generation), with computer programming or with any Markov chain theory."--Résumé de l'éditeur. |
Monte Carlo statistical methods [texte imprimé] / Christian P. Robert ; George Casella . - 2nd ed. . - New York : Springer, 2004 . - xxx, 645 p. : ill. ; 24 cm. ISBN : 0-387-21239-6
| Index. décimale : |
519.5 |
| Résumé : |
"Monte Carlo statistical methods, particularly those based on Markov chains, are now an essential component of the standard set of techniques used by statisticians. This new edition has been revised towards a coherent and flowing coverage of these simulation techniques, with incorporation of the most recent developments in the field. In particular the introductory coverage of random variable generation has been totally revised, with many concepts being unified through a fundamental theorem of simulation." "This textbook is intended for a second year graduate course, but will also be useful to someone who either wants to apply simulation techniques for the resolution of practical problems or wishes to grasp the fundamental principles behind those methods. The authors do not assume familiarity with Monte Carlo techniques (such as random variable generation), with computer programming or with any Markov chain theory."--Résumé de l'éditeur. |
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Exemplaires (1)
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| CF2-003845 | 519-161.1 | Ouvrage | Bibliothèque Centrale | 500 - Sciences de la nature et Mathématiques | Exclu du prêt |
