Introducing Monte Carlo Methods with R
de Robert, Christian P and George Casella
- Usado
- Aceptable
- Tapa blanda
- Estado
- Aceptable
- ISBN 10
- 1441915753
- ISBN 13
- 9781441915757
- Librería
-
Benalla, Victoria, Australia
Formas de pago aceptadas
Sobre este artículo
New York: Springer Etc, 2010. Soft cover. Fine. 8vo - over 7¾" - 9¾" tall. 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)
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Detalles
- Librería
- Good Reading Second Hand Books (AU)
- Inventario del vendedor #
- 019453
- Título
- Introducing Monte Carlo Methods with R
- Autor
- Robert, Christian P and George Casella
- Formato/Encuadernación
- Soft cover
- Estado del libro
- Usado - Aceptable
- Cantidad disponible
- 1
- Encuadernación
- Tapa blanda
- ISBN 10
- 1441915753
- ISBN 13
- 9781441915757
- Editorial
- Springer Etc
- Lugar de publicación
- New York
- Fecha de publicación
- 2010
- Tamaño
- 8vo - over 7¾" - 9¾" tall
- Palabras clave
- Computing Statistics
Términos de venta
Good Reading Second Hand Books
30 day return guarantee, with full refund including original shipping costs for up to 30 days after delivery if an item arrives misdescribed or damaged.
Sobre el vendedor
Good Reading Second Hand Books
Miembro de Biblio desde 2008
Benalla, Victoria
Sobre Good Reading Second Hand Books
Good Reading operates from a house, which is all bookshop, and holds approximately 35,000 titles. It is open by appointment only.Benalla is a country town two and a half hours north of Melbourne on both the Hume and the Midland Highway.
Glosario
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- Shelf Wear
- Shelf wear (shelfwear) describes damage caused over time to a book by placing and removing a book from a shelf. This damage is...
- Fine
- A book in fine condition exhibits no flaws. A fine condition book closely approaches As New condition, but may lack the...