Verlag: Springer, 1999
ISBN 10: 038798707X ISBN 13: 9780387987071
Anbieter: 369 Bookstore _[~ 369 Pyramid Inc ~]_, Dover, DE, USA
Hardcover. Zustand: Good. Monte Carlo statistical methods, particularly those based on Markov chains, have now matured to be part of the standard set of techniques used by statisticians. This book is intended to bring these techniques into the classroom, being a self-contained logical development of the subject. This is a textbook intended for a second year graduate course. We do not assume that the reader has any familiarity with Monte Carlo techniques (such as random variable generation), or with any Markov chain theory. Chapters 1-3 are introductory, first reviewing various statistical methodologies, then covering the basics of random variable generation and Monte Carlo integration. Chapter 4 is an introduction to Markov chain theory, and Chapter 5 provides the first application of Markov chains to optimization problems. Chapters 6 and 7 cover the heart of MCMC methodology, the Metropolis-Hastings algorithm and the Gibbs sampler. Finally, Chapter 8 presents methods for monitoring convergence of the MCMC methods, while Chapter 9 shows how these methods apply to some statistical settings which cannot be processed otherwise. Each chapter concludes with a section of notes that serve to enhance the discussion in the chapters. Christian P. Robert is Professor of Statistics in the Mathematics Department at the University of Rouen, 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 Lecturer at Ecole Polytechnique. In addition to many papers on Bayesian statistics, simulation, and decision theory, he has written three other books, including The Bayesian Choice, Springer 1994. 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 Soci?t? de Statistique de Paris in 1995. George Casella is the Liberty Hyde Bailey Professor of Biological Statistics in the College of Agriculture and Life Sciences at Cornel University. He is active in many aspects on both theoretical and applied statistics, and has served as the Theory and Methods Editor of the Journal of the American Statistical Association. He has authored three other textbooks: Statistical Inference, 1990, with Roger L. Berger; Variance Components, 1992, with Shayle R. Searle and Charles E. McCulloch; and Theory of Point Estimation, 1998, with Erich Lehmann. He is a fellow of the Institute of Mathematical Statistics and the American Statistical Association, and an elected fellow of the International Statistical Institute.
Verlag: Springer Verlag, 2009
ISBN 10: 1441915753 ISBN 13: 9781441915757
Anbieter: Pangea, Louisville, KY, USA
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Verlag: Springer Verlag, 2009
ISBN 10: 1441915753 ISBN 13: 9781441915757
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Verlag: Springer Verlag, 2009
ISBN 10: 1441915753 ISBN 13: 9781441915757
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Verlag: Springer Verlag, 2009
ISBN 10: 1441915753 ISBN 13: 9781441915757
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Verlag: Springer Verlag, 2009
ISBN 10: 1441915753 ISBN 13: 9781441915757
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Verlag: Springer Verlag, 2009
ISBN 10: 1441915753 ISBN 13: 9781441915757
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Verlag: Springer Verlag, 2009
ISBN 10: 1441915753 ISBN 13: 9781441915757
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Verlag: Springer Verlag, 2009
ISBN 10: 1441915753 ISBN 13: 9781441915757
Anbieter: Campbell Bookstore, Austin, TX, USA
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Verlag: Springer Etc, New York, 2010
ISBN 10: 1441915753 ISBN 13: 9781441915757
Anbieter: Good Reading Secondhand Books, Benalla, VIC, Australien
Soft cover. Zustand: Fine. xv 283 pages. Apart from minor shelf wear the book appears untouched. 'Computational techniques based on simulation have now become an essential part of the statistician's toolbox. It is thus crucial to provide statisticians with a practical understanding of those methods, and there is no better way to develop intuition and skills for simulation than to use simulation to solve statistical problems. Introducing Monte Carlo Methods with R covers the main tools used in statistical simulation from a programmer's point of view, explaining the R implementation of each simulation technique and providing the output for better understanding and comparison. While this book constitutes a comprehensive treatment of simulation methods, the theoretical justification of those methods has been considerably reduced, compared with Robert and Casella (2004). Similarly, the more exploratory and less stable solutions are not covered here. This book does not require a preliminary exposure to the R programming language or to Monte Carlo methods, nor an advanced mathematical background. While many examples are set within a Bayesian framework, advanced expertise in Bayesian statistics is not required. The book covers basic random generation algorithms, Monte Carlo techniques for integration and optimization, convergence diagnoses, Markov chain Monte Carlo methods, including Metropolis {Hastings and Gibbs algorithms, and adaptive algorithms. All chapters include exercises and all R programs are available as an R package called mcsm. The book appeals to anyone with a practical interest in simulation methods but no previous exposure. It is meant to be useful for students and practitioners in areas such as statistics, signal processing, communications engineering, control theory, econometrics, finance and more. The programming parts are introduced progressively to be accessible to any reader." (Publisher).
Verlag: Springer Verlag, 2009
ISBN 10: 1441915753 ISBN 13: 9781441915757
Anbieter: GF Books, Inc., Hawthorne, CA, USA
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Verlag: Springer Verlag, 2009
ISBN 10: 1441915753 ISBN 13: 9781441915757
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Verlag: Springer Verlag, 2009
ISBN 10: 1441915753 ISBN 13: 9781441915757
Anbieter: GreatBookPrices, Columbia, MD, USA
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Verlag: Springer, Use R !, 2010
Anbieter: Rometti Vincent, Nice, Frankreich
Couverture souple. Zustand: Très bon. Springer, Use R !, 2010. In-8 broché, XIX+283pp. Très bon état.
Verlag: Springer Verlag, 2009
ISBN 10: 1441915753 ISBN 13: 9781441915757
Anbieter: GreatBookPrices, Columbia, MD, USA
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Verlag: Springer Verlag, 2009
ISBN 10: 1441915753 ISBN 13: 9781441915757
Anbieter: SGS Trading Inc, Franklin Lakes, NJ, USA
Paperback. Zustand: Good. Textbook, May Have Highlights, Notes and/or Underlining, BOOK ONLYNO ACCESS CODE, NO CD, Ships with Emailed Tracking.
Verlag: Springer (edition 2nd), 2004
ISBN 10: 0387212396 ISBN 13: 9780387212395
Anbieter: BooksRun, Philadelphia, PA, USA
Hardcover. Zustand: Good. 2nd. Ship within 24hrs. Satisfaction 100% guaranteed. APO/FPO addresses supported.
Verlag: Springer-Verlag GmbH, 1999
ISBN 10: 038798707X ISBN 13: 9780387987071
Anbieter: Buchpark, Trebbin, Deutschland
Zustand: Sehr gut. Zustand: Sehr gut - Gepflegter, sauberer Zustand.1999. Innen: Seiten eingerissen. | Produktart: Sonstiges.
Verlag: Springer Verlag, 2009
ISBN 10: 1441915753 ISBN 13: 9781441915757
Anbieter: booksXpress, Bayonne, NJ, USA
Soft Cover. Zustand: new.
Verlag: Springer, 2004
ISBN 10: 0387212396 ISBN 13: 9780387212395
Anbieter: mountain, GEORGETOWN, CO, USA
Zustand: Good. Hardcover book no dust jacket. Light wear to book cover and book edges.
Verlag: Springer Verlag, 2009
ISBN 10: 1441915753 ISBN 13: 9781441915757
Anbieter: Book Deals, Tucson, AZ, USA
Zustand: New. New! This book is in the same immaculate condition as when it was published 1.2.
Verlag: Springer Verlag, 2009
ISBN 10: 1441915753 ISBN 13: 9781441915757
Anbieter: GF Books, Inc., Hawthorne, CA, USA
Zustand: New. Book is in NEW condition. 1.2.
Verlag: New York. Springer. 2010., 2010
Anbieter: Antiquariat am Flughafen, Berlin, Deutschland
Softcover. gr. 8°. xix, 283 pages. with illustrations and tables. less marks of use. good condition. Series Use R! . in englischer Sprache (in english).
Verlag: Springer, 2011
ISBN 10: 2817801806 ISBN 13: 9782817801803
Anbieter: Ammareal, Morangis, Frankreich
Softcover. Zustand: Très bon. Ancien livre de bibliothèque. Légères traces d'usure sur la couverture. Ammareal reverse jusqu'à 15% du prix net de ce livre à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Very good. Former library book. Slight signs of wear on the cover. Ammareal gives back up to 15% of this book's net price to charity organizations.
Verlag: Springer, 2010
ISBN 10: 2817801806 ISBN 13: 9782817801803
Anbieter: Ammareal, Morangis, Frankreich
Softcover. Zustand: Bon. Ancien livre de bibliothèque. Légères traces d'usure sur la couverture. Edition 2010. Ammareal reverse jusqu'à 15% du prix net de ce livre à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Good. Former library book. Slight signs of wear on the cover. Edition 2010. Ammareal gives back up to 15% of this book's net price to charity organizations.
Verlag: Springer Verlag, 2009
ISBN 10: 1441915753 ISBN 13: 9781441915757
Anbieter: Lucky's Textbooks, Dallas, TX, USA
Zustand: New.
Verlag: Springer Verlag, 1999
Anbieter: TotalitarianMedia, Los Angeles, CA, USA
Hardcover. Zustand: Fine. No Jacket. Monte Carlo Statistical Methods. Christian P. Robert; George Casella. Published by Springer-Verlag, 1999. 507p. hardcover no dust jacket, boards clean/square, binding tight, text clean/unmarked, NOT xlib, fine condition---85.00.
Verlag: Springer 2009-12-10, 2009
ISBN 10: 1441915753 ISBN 13: 9781441915757
Anbieter: Chiron Media, Wallingford, Vereinigtes Königreich
Paperback. Zustand: New.
Verlag: Springer Verlag, 2009
ISBN 10: 1441915753 ISBN 13: 9781441915757
Anbieter: GreatBookPricesUK, Castle Donington, DERBY, Vereinigtes Königreich
Zustand: New.
Verlag: Springer Verlag, 2009
ISBN 10: 1441915753 ISBN 13: 9781441915757
Anbieter: California Books, Miami, FL, USA
Zustand: New.