OpenCourser brand icon
Sign in
We may earn an affiliate commission when you visit our partners.

Missing Value Imputation

Save
Coming soon We're preparing course recommendations and better information about Missing Value Imputation. Check back soon for more details.

Path to Missing Value Imputation

Take the first step.
We've curated one courses to help you on your path to Missing Value Imputation. Use these to develop your skills, build background knowledge, and put what you learn to practice.
Sorted from most relevant to least relevant:

Share

Help others find this page about Missing Value Imputation: by sharing it with your friends and followers:
Facebook
LinkedIn
Reddit
X
Link
Email

Reading list

We've selected 13 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Missing Value Imputation.
Cover image
Statistical Analysis with Missing Data
Save
Classic work on multiple imputation, one of the most popular missing data imputation techniques. It provides a detailed overview of the theory and practice of multiple imputation, and it includes numerous examples and exercises to help readers understand the concepts.
Statistical Analysis with Missing Data (Wiley...
Hardcover
$$$
By Roderick J. A. Little - Statistical Analysis...
Hardcover
$$
Statistical Analysis with Missing Data (Wiley...
Hardcover
$$$
Statistical Analysis with Missing Data (Wiley...
Kindle Edition
$$$
Cover image
Statistical Analysis with Missing Data
Save
Classic work on multiple imputation, a widely used technique for handling missing data. It provides a comprehensive overview of the theory and practice of multiple imputation, making it an essential reference for researchers and practitioners alike.
Statistical Analysis with Missing Data (Wiley...
Hardcover
$$$
By Roderick J. A. Little - Statistical Analysis...
Hardcover
$$
Statistical Analysis with Missing Data (Wiley...
Kindle Edition
$$$
Cover image
Mising Data A Gentle Introduction
Save
This handbook provides a comprehensive overview of missing data imputation and estimation techniques, covering a wide range of topics from basic concepts to advanced methods. It valuable resource for researchers and practitioners who need to deal with missing data in their work.
Mising Data a Gentle Introduction [Dec 01, 2008]...
Paperback
$$
Cover image
An Introduction to Statistical Learning
Save
Provides a broad overview of missing data analysis and imputation techniques, covering both theoretical and practical aspects. It is particularly useful for understanding the underlying principles and assumptions of different imputation methods.
An Introduction to Statistical Learning: with...
Hardcover
$$$
An Introduction to Statistical Learning: with...
Hardcover
$$$
An Introduction to Statistical Learning: with...
Hardcover
$$$
An Introduction to Statistical Learning: with...
Kindle Edition
$$$
An Introduction to Statistical Learning: with...
Kindle Edition
$$$
Cover image
Multiple Imputation and its Application
Save
Provides a comprehensive overview of multiple imputation, covering both theoretical and practical aspects. It valuable resource for researchers and practitioners who need to understand and apply multiple imputation techniques.
Multiple Imputation and its Application (Statistics...
Hardcover
$$$
Multiple Imputation and its Application (Statistics...
Kindle Edition
$$$
Cover image
Flexible Imputation of Missing Data, Second Edition
Save
Provides a comprehensive overview of missing data imputation techniques, with a focus on practical applications. It is written in a clear and concise style, and it includes numerous examples and exercises to help readers understand the concepts.
Flexible Imputation of Missing Data, Second Edition...
Paperback
$$
Flexible Imputation of Missing Data, Second Edition...
Kindle Edition
$$
Cover image
Missing Data in Clinical Studies
Save
Provides a comprehensive overview of missing data imputation techniques, with a focus on statistical analysis. It is written in a clear and concise style, and it includes numerous examples and exercises to help readers understand the concepts.
Missing Data in Clinical Studies
Hardcover
$$$$
Cover image
Research Methods in Applied Settings
Save
Focuses on missing data imputation and analysis in social science research, providing practical guidance on selecting and implementing appropriate methods. It valuable resource for researchers who need to deal with missing data in social science research.
Research Methods in Applied Settings
Paperback
Check
Research Methods in Applied Settings
Kindle Edition
Check
Cover image
Missing Data
Save
Provides a practical guide to missing data imputation and analysis, focusing on the application of different methods in various research settings. It valuable resource for researchers and practitioners who need to deal with missing data in their research.
Missing Data: A Gentle Introduction (Methodology in...
Paperback
$$
Missing Data: A Gentle Introduction (Methodology in...
Kindle Edition
$$
Cover image
Statistical Methods for Handling Incomplete Data
Save
Provides a comprehensive overview of missing data imputation techniques with regularized regression. It is written in a clear and concise style, and it includes numerous examples and exercises to help readers understand the concepts.
Statistical Methods for Handling Incomplete Data
Paperback
Check
Statistical Methods for Handling Incomplete Data
Kindle Edition
Check
Cover image
Multiple Imputation and its Application
Save
Provides a comprehensive overview of missing data imputation techniques in longitudinal studies. It is written in a clear and concise style, and it includes numerous examples and exercises to help readers understand the concepts.
Multiple Imputation and its Application (Statistics...
Hardcover
$$$
Multiple Imputation and its Application (Statistics...
Kindle Edition
$$$
Cover image
A Primer of Multivariate Statistics
Save
Provides a non-technical overview of missing data imputation, making it accessible to a wide range of readers. It valuable resource for researchers and practitioners who need to deal with missing data but do not have a strong statistical background.
A Primer of Multivariate Statistics
Hardcover
$$$$
A Primer of Multivariate Statistics
Paperback
$$$
A Primer of Multivariate Statistics by Richard J....
Paperback
$$$$
A Primer of Multivariate Statistics
Kindle Edition
$$$
Cover image
The Prevention and Treatment of Missing Data in...
Save
Provides a comprehensive overview of missing data imputation techniques in clinical studies. It is written in a clear and concise style, and it includes numerous examples and exercises to help readers understand the concepts.
The Prevention and Treatment of Missing Data in...
Paperback
$$
The Prevention and Treatment of Missing Data in...
Kindle Edition
$$
Share and help others explore Missing Value Imputation:
Facebook LinkedIn X Reddit Link Email
Our mission

OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.

Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.

Find this site helpful? Tell a friend about us.

Affiliate disclosure

We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.

Your purchases help us maintain our catalog and keep our servers humming without ads.

Thank you for supporting OpenCourser.

© 2016 - 2025 OpenCourser