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- catalog abstract ""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. Written as a self-contained logical development of the subject, this book will be suitable as an introduction to the field or as a textbook intended for a second-year graduate course. The reader is not assumed to have any familiarity with Monte Carlo techniques (such as random variable generation), or with any Markov chain theory."--Jacket.".
- catalog contributor b11408881.
- catalog contributor b11408882.
- catalog created "1999.".
- catalog date "1999".
- catalog date "1999.".
- catalog dateCopyrighted "1999.".
- catalog description ""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. Written as a self-contained logical development of the subject, this book will be suitable as an introduction to the field or as a textbook intended for a second-year graduate course. The reader is not assumed to have any familiarity with Monte Carlo techniques (such as random variable generation), or with any Markov chain theory."--Jacket.".
- catalog description "1. Introduction -- 2. Random variable generation -- 3. Monte Carlo integration -- 4. Markov chains -- 5. Monte Carlo optimization -- 6. The Metropolis-Hastings algorithm -- 7. The Gibbs sampler -- 8. Diagnosing convergence -- 9. Implementation in missing data models.".
- catalog description "Includes bibliographical references (p.[459]-487) and index.".
- catalog extent "xxi, 507 p. :".
- catalog identifier "038798707X (alk. paper)".
- catalog isPartOf "Springer texts in statistics".
- catalog issued "1999".
- catalog issued "1999.".
- catalog language "eng".
- catalog publisher "New York : Springer,".
- catalog subject "519.5 21".
- catalog subject "Mathematical statistics.".
- catalog subject "Monte Carlo method.".
- catalog subject "QA276 .R575 1999".
- catalog tableOfContents "1. Introduction -- 2. Random variable generation -- 3. Monte Carlo integration -- 4. Markov chains -- 5. Monte Carlo optimization -- 6. The Metropolis-Hastings algorithm -- 7. The Gibbs sampler -- 8. Diagnosing convergence -- 9. Implementation in missing data models.".
- catalog title "Monte Carlo statistical methods / Christian P. Robert, George Casella.".
- catalog type "text".