Taylor & Francis Ltd
Analysis of Incomplete Multivariate Data (English, Schafer J.L.)
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Specifications
| Publisher | Taylor & Francis Ltd |
| Language | English |
| ISBN-13 | 9780412040610 |
| ISBN-10 | 0412040611 |
| Author | Schafer J.L. |
Product Description
About the Book
The last two decades have seen enormous developments in statistical methods for incomplete data. The EM algorithm and its extensions, multiple imputation, and Markov Chain Monte Carlo provide a set of flexible and reliable tools from inference in large classes of missing-data problems. Yet, in practical terms, those developments have had surprisingly little impact on the way most data analysts handle missing values on a routine basis. Analysis of…
ISBN: 9780412040610
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What You'll Learn
- ·In-depth exploration of topics covered in Analysis of Incomplete Multivariate Data
- ·Key concepts explained with clarity and practical examples
- ·Insights valuable for anyone studying or working in Taylor & Francis Ltd
Who Should Read This
Students and professionals interested in Taylor & Francis Ltd, as well as general readers looking to expand their knowledge.
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- ·Brand new physical book delivered across India
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Analysis of Incomplete Multivariate Data is authored by Schafer J.L..
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What is Analysis of Incomplete Multivariate Data about?
About the Book
The last two decades have seen enormous developments in statistical methods for incomplete data. The EM algorithm and its extensions, multiple imputation, and Markov Chain Monte Carlo provide a set of flexible and reliable tools from inference in large classes of missing-data proble...
Is Analysis of Incomplete Multivariate Data suitable for beginners?
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