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Can I read Analysis of Incomplete Multivariate Data (Chapman & Hall/CRC Monographs on Statistics and Applied Probability) on EtoBox?
Analysis of Incomplete Multivariate Data (Chapman & Hall/CRC Monographs on Statistics and Applied Probability) by J.L. Schafer; D.R. Cox; N. Reid; Valerie Isham; Thomas A. Louis; Howell Tong; Niels Keiding is a mathematics available to read on EtoBox.
What is Analysis of Incomplete Multivariate Data (Chapman & Hall/CRC Monographs on Statistics and Applied Probability) about?
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.<br><br> Analysis of Incomplete Multivariate Data helps bridge
Who reads Analysis of Incomplete Multivariate Data (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- J.L. Schafer; D.R. Cox; N. Reid; Valerie Isham; Thomas A. Louis; Howell Tong; Niels Keiding
- Publisher
- Chapman and Hall/CRC
- Published
- 1997
- Language
- EN
- ISBN
- 9780412040610
- Category
- mathematics
- Subjects
- Mathematics, Science, Medical
- Updated
- 2026-03-24
More by J.L. Schafer; D.R. Cox; N. Reid; Valerie Isham; Thomas A. Louis; Howell Tong; Niels Keiding
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