Applied Multiple Imputation

Discover the essential techniques for handling missing data in "Applied Multiple Imputation" by Kristian Kleinke. Published by Springer Nature Switzerland AG in 2021, this comprehensive guide spans 292 pages and serves as an invaluable resource for both beginners and experienced practitioners in the field of mathematics. Kleinke presents a detailed yet accessible introduction to multiple imputation, delving into its theoretical foundations while also providing practical insights for effective implementation. Whether you're a researcher or a data analyst, this book equips you with the knowledge and tools needed to tackle the challenges of incomplete datasets. Enhance your understanding of statistical methodologies and improve your data analysis skills with this must-have addition to your library.