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- DescriptionComputational inference is based on an approach to statistical methods that uses modern computational power to simulate distributional properties of estimators and test statistics. This book describes computationally intensive statistical methods in a unified presentation, emphasizing techniques, such as the PDF decomposition, that arise in a wide range of methods.
- Author BiographyJames E. Gentle is University Professor of Computational Statistics at George Mason University. He is a Fellow of the American Statistical Association (ASA) and of the American Association for the Advancement of Science. He has held several national offices in the ASA and has served as associate editor of journals of the ASA as well as for other journals in statistics and computing. He is author of Random Number Generation and Monte Carlo Methods and Matrix Algebra.
- Author(s)James E. Gentle
- PublisherSpringer-Verlag New York Inc.
- Date of Publication03/03/2012
- SubjectScience & Mathematics: Textbooks & Study Guides
- Series TitleStatistics and Computing
- Place of PublicationNew York, NY
- Country of PublicationUnited States
- ImprintSpringer-Verlag New York Inc.
- Content Notebiography
- Weight1134 g
- Width155 mm
- Height235 mm
- Spine38 mm
- Format DetailsTrade paperback (US)
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