[PDF.01ba] Analysis of Incomplete Multivariate Data (Chapman & Hall/CRC Monographs on Statistics & Applied Probability)

Analysis of Incomplete Multivariate Data (Chapman & Hall/CRC Monographs on Statistics & Applied Probability)

[PDF.rx09] Analysis of Incomplete Multivariate Data (Chapman & Hall/CRC Monographs on Statistics & Applied Probability)

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 | #1516364 in Books |  1997-08-01 | Original language:English | PDF # 1 |  9.00 x5.75 x1.00l,1.34 | File type: PDF | 444 pages

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||36 of 36 people found the following review helpful.| nice concise account of incomplete data on an introductory level|By Michael R. Chernick|The author is a good writer and this series is an excellent series of monographs on probability and statistics. The book is well-written and concise. It is useful for beginners and useful as a reference for researchers. It is not comprehensive and coverage is not in depth. If you seek

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.

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You easily download any file type for your device.Analysis of Incomplete Multivariate Data (Chapman & Hall/CRC Monographs on Statistics & Applied Probability)   |  J.L. Schafer. I really enjoyed this book and have already told so many people about it!

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