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
Here on GlowMirror, you'll find Analysis of Incomplete Multivariate Data filed under Taylor & Francis Ltd -- everything you need to know is covered below.
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
Book Insights
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.
Key Highlights
- ·Brand new physical book delivered across India
- ·15-day hassle-free return policy
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Analysis of Incomplete Multivariate Data is available in English on GlowMirror.
Who is the author of Analysis of Incomplete Multivariate Data?
Analysis of Incomplete Multivariate Data is authored by Schafer J.L..
Who published Analysis of Incomplete Multivariate Data?
Analysis of Incomplete Multivariate Data is published by Taylor & Francis Ltd.
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Page count information for Analysis of Incomplete Multivariate Data is available in the specifications section of this page.
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At an average reading speed of 250 words per minute, reading Analysis of Incomplete Multivariate Data takes a few hours to a few days depending on reading pace.
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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