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Statistical Methods for Handling Incomplete Data

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Comprehensive coverage of imputation techniques for incomplete data enables thorough analysis
Advanced topics such as propensity score method and neural network model imputation provide cutting-edge approaches
Real-world and simulated data examples enhance practical understanding and application
Suitable for researchers, graduate students, and applied professionals with a quantitative background
Hardcover format ensures durability for frequent reference

Summarized by Shop

Statistical Methods for Handling Incomplete Data is a comprehensive book that covers recent theoretical findings and advances in statistical computing for analyzing incomplete data. It provides a rigorous treatment of imputation techniques, explores the propensity score method, and covers advanced topics such as data integration and neura

Format: Hardcover
Length: 364 pages
Publication Date: 19 November 2021
Publisher: Taylor & Francis Ltd
ISBN-13: 9780367280543
Edition: 2nd Edition
Weight: 862 g
Dimensions: 234 x 156 mm

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Shulph Ink

Shulph Ink

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