Seller: HPB-Red, Dallas, TX, U.S.A.
Paperback. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
Language: English
Published by Springer Verlag (edition 2010), 2009
ISBN 10: 1441915753 ISBN 13: 9781441915757
Seller: BooksRun, Philadelphia, PA, U.S.A.
Paperback. Condition: Very Good. 2010. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.
Seller: Wickham Books South, NAPLES, FL, U.S.A.
Hardcover. Condition: Very Good. Bump to bottom front of spine, No dust jacket as issued; Illustrated hardcover binding. Illustrated with tables, figures, equations. References, indices; 8vo; xii + 509 pages.
Seller: Goodwill of Silicon Valley, SAN JOSE, CA, U.S.A.
Condition: good. Supports Goodwill of Silicon Valley job training programs. The cover and pages are in Good condition! Any other included accessories are also in Good condition showing use. Use can include some highlighting and writing, page and cover creases as well as other types visible wear.
Seller: HPB Inc., Dallas, TX, U.S.A.
paperback. Condition: Very Good. Connecting readers with great books since 1972! Used books may not include companion materials, and may have some shelf wear or limited writing. We ship orders daily and Customer Service is our top priority!
Language: English
Published by Springer Etc, New York, 2010
ISBN 10: 1441915753 ISBN 13: 9781441915757
Seller: Good Reading Secondhand Books, Benalla, VIC, Australia
Soft cover. Condition: 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).
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: As New. Unread book in perfect condition.
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: New.
Seller: Lucky's Textbooks, Dallas, TX, U.S.A.
Condition: New.
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
US$ 72.84
Quantity: Over 20 available
Add to basketCondition: New.
Seller: Ria Christie Collections, Uxbridge, United Kingdom
US$ 78.60
Quantity: Over 20 available
Add to basketCondition: New. In.
Seller: California Books, Miami, FL, U.S.A.
Condition: New.
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
US$ 83.14
Quantity: Over 20 available
Add to basketCondition: As New. Unread book in perfect condition.
Couverture souple. Condition: Neuf.
Seller: Mispah books, Redhill, SURRE, United Kingdom
US$ 145.31
Quantity: 1 available
Add to basketPaperback. Condition: Like New. Like New. book.
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: As New. Unread book in perfect condition.
Language: English
Published by Springer-Verlag GmbH, 1999
ISBN 10: 038798707X ISBN 13: 9780387987071
Seller: Buchpark, Trebbin, Germany
Condition: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: New.
Seller: Revaluation Books, Exeter, United Kingdom
US$ 323.80
Quantity: 2 available
Add to basketHardcover. Condition: Brand New. 2nd edition. 645 pages. 9.50x6.50x1.50 inches. In Stock.
Published by Springer Verlag, 1999
Seller: TotalitarianMedia, Los Angeles, CA, U.S.A.
Hardcover. Condition: 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.
Published by Springer, Use R !, 2010
Seller: Rometti Vincent, Nice, France
Couverture souple. Condition: Très bon. Springer, Use R !, 2010. In-8 broché, XIX+283pp. Très bon état.
Published by New York. Springer. 2010., 2010
Seller: Antiquariat am Flughafen, Berlin, Germany
Softcover. Condition: sehr gut. Softcover. gr. 8°. xix, 283 pages. with illustrations and tables. less marks of use. good condition. Series Use R!". in englischer Sprache (in english).
Couverture souple. Condition: Très bon.