. .
Deutsch
Deutschland
Anmelden
Tipp von eurobuch.com
Ähnliche Bücher
Weitere, andere Bücher, die diesem Buch sehr ähnlich sein könnten:
Buch verkaufen
Anbieter, die das Buch mit der ISBN 9781441919397 ankaufen:
Suchtools
Buchtipps
Aktuelles
FILTER
- 0 Ergebnisse
Kleinster Preis: 60,65 €, größter Preis: 96,14 €, Mittelwert: 82,28 €
Monte Carlo Statistical Methods - Christian Robert#George Casella
Vergriffenes Buch, derzeit bei uns nicht verfügbar.
(*)
Christian Robert#George Casella:
Monte Carlo Statistical Methods - neues Buch

2004, ISBN: 9781441919397

ID: 750904557

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 There are five completely new chapters that cover Monte Carlo control, reversible jump, slice sampling, sequential Monte Carlo, and perfect sampling. There is a more in-depth coverage of Gibbs sampling, which is now contained in three consecutive chapters. The development of Gibbs sampling starts with slice sampling and its connection with the fundamental theorem of simulation, and builds up to two-stage Gibbs sampling and its theoretical properties. A third chapter covers the multi-stage Gibbs sampler and its variety of applications. Lastly, chapters from the previous edition have been revised towards easier access, with the examples getting more detailed coverage. 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 (the necessary concepts are developed in Chapter 6). A solutions manual, which covers approximately 40% of the problems, is available for instructors who require the book for a course. Christian P. Robert is Professor of Statistics in the Applied Mathematics Department at Université Paris Dauphine, France. He is also Head of the Statistics Laboratory at the Center for Research in Economics and Statistics (CREST) of the National Institute for Statistics and Economic Studies (INSEE) in Paris, and Adjunct Professor at Ecole Polytechnique. He has written three other books and won the 2004 DeGroot Prize for The Bayesian Choice, Second Edition, Springer 2001. He also edited Discretization and MCMC Convergence Assessment, Springer 1998. He has served as associate editor for the Annals of Statistics, Statistical Science and the Journal of the American Statistical Association. He is a fellow of the Institute of Mathematical Statistics, and a winner of the Young Statistician Award of the Société de Statistique de Paris in 1995. George Casella is Distinguished Professor and Chair, Department of Statistics, University of Florida. He has served as the Theory and Methods Editor of the Journal of the American Statistical Association and Executive Editor of Statistical Science. He has authored three other textbooks: Statistical Inference, Second Edition, 2001, with Roger L. Berger; Theory of Point Estimation, 1998, with Erich Lehmann; and Variance Components, 1992, with Shayle R. Searle and Charles E. McCulloch. He is a fellow of the Institute of Mathematical Statistics and the American Statistical Association, and an elected fellow of the International Statistical Institute. Monte Carlo Statistical Methods Buch (fremdspr.) Bücher>Fremdsprachige Bücher>Englische Bücher, Springer

Neues Buch Thalia.de
No. 25608901 Versandkosten:, Versandfertig in 2 - 3 Tagen, DE (EUR 0.00)
Details...
(*) Derzeit vergriffen bedeutet, dass dieser Titel momentan auf keiner der angeschlossenen Plattform verfügbar ist.
Monte Carlo Statistical Methods - Christian Robert
Vergriffenes Buch, derzeit bei uns nicht verfügbar.
(*)
Christian Robert:
Monte Carlo Statistical Methods - neues Buch

2001, ISBN: 9781441919397

ID: 978144191939

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 simulationThere are five completely new chapters that cover Monte Carlo control, reversible jump, slice sampling, sequential Monte Carlo, and perfect sampling. There is a more in-depth coverage of Gibbs sampling, which is now contained in three consecutive chapters. The development of Gibbs sampling starts with slice sampling and its connection with the fundamental theorem of simulation, and builds up to two-stage Gibbs sampling and its theoretical properties. A third chapter covers the multi-stage Gibbs sampler and its variety of applications. Lastly, chapters from the previous edition have been revised towards easier access, with the examples getting more detailed coverage.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 (the necessary concepts are developed in Chapter 6). A solutions manual, which covers approximately 40% of the problems, is available for instructors who require the book for a course.Christian P. Robert is Professor of Statistics in the Applied Mathematics Department at Université Paris Dauphine, France. He is also Head of the Statistics Laboratory at the Center for Research in Economics and Statistics (CREST) of the National Institute for Statistics and Economic Studies (INSEE) in Paris, and Adjunct Professor at Ecole Polytechnique. He has written three other books, including The Bayesian Choice, Second Edition, Springer 2001. He also edited Discretization and MCMC Convergence Assessment, Springer 1998. He has served as associate editor for the Annals of Statistics and the Journal of the American Statistical Association. He is a fellow of the Institute of Mathematical Statistics, and a winner of the Young Statistician Award of the Societié de Statistique de Paris in 1995.George Casella is Distinguished Professor and Chair, Department of Statistics, University of Florida. He has served as the Theory and Methods Editor of the Journal of the American Statistical Association and Executive Editor of Statistical Science. He has authored three other textbooks: Statistical Inference, Second Edition, 2001, with Roger L. Berger; Theory of Point Estimation, 1998, with Erich Lehmann; and Variance Components, 1992, with Shayle R. Searle and Charles E. McCulloch. He is a fellow of the Institute of Mathematical Statistics and the American Statistical Association, and an elected fellow of the International Statistical Institute. Christian Robert, Books, Science and Nature, Monte Carlo Statistical Methods Books>Science and Nature, Springer New York

Neues Buch Indigo.ca
new Free shipping on orders above $25 Versandkosten:zzgl. Versandkosten
Details...
(*) Derzeit vergriffen bedeutet, dass dieser Titel momentan auf keiner der angeschlossenen Plattform verfügbar ist.
Monte Carlo Statistical Methods - Robert, Christian / Casella, George
Vergriffenes Buch, derzeit bei uns nicht verfügbar.
(*)
Robert, Christian / Casella, George:
Monte Carlo Statistical Methods - gebrauchtes Buch

2001, ISBN: 9781441919397

ID: 11127514

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 There are five completely new chapters that cover Monte Carlo control, reversible jump, slice sampling, sequential Monte Carlo, and perfect sampling. There is a more in-depth coverage of Gibbs sampling, which is now contained in three consecutive chapters. The development of Gibbs sampling starts with slice sampling and its connection with the fundamental theorem of simulation, and builds up to two-stage Gibbs sampling and its theoretical properties. A third chapter covers the multi-stage Gibbs sampler and its variety of applications. Lastly, chapters from the previous edition have been revised towards easier access, with the examples getting more detailed coverage. 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 (the necessary concepts are developed in Chapter 6). A solutions manual, which covers approximately 40% of the problems, is available for instructors who require the book for a course. Christian P. Robert is Professor of Statistics in the Applied Mathematics Department at Universite Paris Dauphine, France. He is also Head of the Statistics Laboratory at the Center for Research in Economics and Statistics (CREST) of the National Institute for Statistics and Economic Studies (INSEE) in Paris, and Adjunct Professor at Ecole Polytechnique. He has written three other books, including The Bayesian Choice, Second Edition, Springer 2001. He also edited Discretization and MCMC Convergence Assessment, Springer 1998. He has served as associate editor for the Annals of Statistics and the Journal of the American Statistical Association. He is a fellow of the Institute of Mathematical Statistics, and a winner of the Young Statistician Award of the Societie de Statistique de Paris in 1995. George Casella is Distinguished Professor and Chair, Department of Statistics, University of Florida. He has served as the Theory and Methods Editor of the Journal of the American Statistical Association and Executive Editor of Statistical Science. He has authored three other textbooks: Statistical Inference, Second Edition, 2001, with Roger L. Berger; Theory of Point Estimation, 1998, with E Monte Carlo Statistical Methods Robert, Christian / Casella, George, Springer

gebrauchtes bzw. antiquarisches Buch Betterworldbooks.com
Versandkosten:zzgl. Versandkosten
Details...
(*) Derzeit vergriffen bedeutet, dass dieser Titel momentan auf keiner der angeschlossenen Plattform verfügbar ist.
Monte Carlo Statistical Methods - Christian Robert; George Casella
Vergriffenes Buch, derzeit bei uns nicht verfügbar.
(*)
Christian Robert; George Casella:
Monte Carlo Statistical Methods - gebrauchtes Buch

ISBN: 1441919392

ID: 11026214

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 There are five completely new chapters that cover Monte Carlo control, reversible jump, slice sampling, sequential Monte Carlo, and perfect sampling. There is a more in-depth coverage of Gibbs sampling, which is now contained in three consecutive chapters. The development of Gibbs sampling starts with slice sampling and its connection with the fundamental theorem of simulation, and builds up to two-stage Gibbs sampling and its theoretical properties. A third chapter covers the multi-stage Gibbs sampler and its variety of applications. Lastly, chapters from the previous edition have been revised towards easier access, with the examples getting more detailed coverage. 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 techniqu math,mathematics,science and math Mathematics, Springer

gebrauchtes bzw. antiquarisches Buch Thriftbooks.com
used Versandkosten:zzgl. Versandkosten
Details...
(*) Derzeit vergriffen bedeutet, dass dieser Titel momentan auf keiner der angeschlossenen Plattform verfügbar ist.
Monte Carlo Statistical Methods - Robert, Christian; Casella, George
Vergriffenes Buch, derzeit bei uns nicht verfügbar.
(*)
Robert, Christian; Casella, George:
Monte Carlo Statistical Methods - neues Buch

ISBN: 9781441919397

ID: 36066772

We have sold 4300 copies worldwide of the first edition (1999). This new edition contains five completely new chapters covering new developments. We have sold 4300 copies worldwide of the first edition (1999). This new edition contains five completely new chapters covering new developments. Buch > Mathematik, Naturwissenschaft & Technik > Mathematik > Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik, Springer, Berlin

Neues Buch Buecher.de
No. 32222777 Versandkosten:, Versandkostenfrei innerhalb von Deutschland, DE, Versandfertig in 3-5 Tagen, Lieferzeit 1-2 Werktage (EUR 0.00)
Details...
(*) Derzeit vergriffen bedeutet, dass dieser Titel momentan auf keiner der angeschlossenen Plattform verfügbar ist.

Details zum Buch
Monte Carlo Statistical Methods (Springer Texts in Statistics)

We have sold 4300 copies worldwide of the first edition (1999).This new edition contains five completely new chapters covering new developments.

Detailangaben zum Buch - Monte Carlo Statistical Methods (Springer Texts in Statistics)


EAN (ISBN-13): 9781441919397
ISBN (ISBN-10): 1441919392
Gebundene Ausgabe
Taschenbuch
Erscheinungsjahr: 2010
Herausgeber: Springer-Verlag GmbH
680 Seiten
Gewicht: 1,011 kg
Sprache: eng/Englisch

Buch in der Datenbank seit 31.10.2009 03:25:41
Buch zuletzt gefunden am 13.09.2017 21:04:21
ISBN/EAN: 9781441919397

ISBN - alternative Schreibweisen:
1-4419-1939-2, 978-1-4419-1939-7


< zum Archiv...
Benachbarte Bücher