Statistical methods for handling incomplete data
Jae Kwang Kim
Reading Time
at 250 WPM3h 31m
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8
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211
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Statistical methods for handling incomplete data
Published
2014
Publisher
CRC Press, Taylor & Francis Group
Pages
211
ISBN-13
9781439849637
Description
"With the advances in statistical computing, there has been a rapid development of techniques and applications in missing data analysis. This book aims to cover the most up-to-date statistical theories and computational methods for analyzing incomplete data through (1)vigorous treatment of statistical theories on likelihood-based inference with missing data, (2) comprehensive treatment of computational techniques and theories on imputation, and (3) most up-to-date treatment of methodologies involving propensity score weighting, nonignorable missing, longitudinal missing, survey sampling application, and statistical matching. The book is suitable for use as a textbook for a graduate course in statistics departments or as a reference book for those interested in this area. Some of the research ideas introduced in the book can be developed further for specific applications"--
Subjects
Statistics Done Wrong
Statistical analysis with missing data
The EM algorithm and related statistical models
Statistical Methods for Handling Incomplete Data
The matching methodology
The matching methodology
Frequently Asked Questions
How many pages are in Statistical methods for handling incomplete data?
This edition of Statistical methods for handling incomplete data has approximately 211 pages. Please note, this is an estimate and the exact page count can vary between hardcover, paperback, and e-book versions.
How long does it take to read Statistical methods for handling incomplete data?
For most readers, Statistical methods for handling incomplete data typically takes between 4h 24m and 2h 56m to complete. This is based on the book's length of approximately 52,750 words and common reading speeds.
Here's a detailed breakdown: • Continuous reading at 250 WPM: approximately 3h 31m of focused reading • Casual reading (30 minutes/day): you could finish in roughly 8 days • Estimated word count: 52,750 words
Your individual reading time will vary based on your personal reading pace, the amount of daily reading time, and your familiarity with the subject matter.
What is the word count of Statistical methods for handling incomplete data?
The estimated word count for Statistical methods for handling incomplete data is approximately 52,750 words. This figure is calculated using industry-standard methods that consider genre-specific word density patterns, typical formatting and layout characteristics, and standard words-per-page ratios for published books.
This is an approximation — actual word count may vary based on font size, formatting, edition, and the presence of illustrations or charts.
Who is the author of Statistical methods for handling incomplete data?
Statistical methods for handling incomplete data was written by Jae Kwang Kim.
When was Statistical methods for handling incomplete data published?
The publication date for this specific edition is 2014. The original work may have been published on a different date.