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CRC Press Statistical Methods for Handling Incomplete Data

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Description

Master the complexities of missing data analysis with this specialized text from CRC Press. As statistical computing and theoretical findings advance, staying updated on the latest techniques is essential for accurate research and data science. This book provides a deep look into the most current statistical theories and computational methods used to address incomplete datasets. Designed for higher education and advanced mathematical study, this resource offers a clear path through the challenges of modern data analysis. By focusing on modern computational techniques and rigorous imputation methods, it serves as a vital tool for students and professionals working in mathematics and science. Whether you are studying theoretical foundations or looking for practical computational applications, this text delivers the necessary depth to handle incomplete data effectively.

Key Features

Develop a strong theoretical foundation using the mean score equation as a fundamental building block for missing data analysis.

Access comprehensive coverage of modern computational techniques designed specifically for analyzing incomplete datasets.

Benefit from a rigorous treatment of imputation techniques to improve the accuracy of your statistical models.

Stay current with the latest developments in statistical computing and recent theoretical findings in the field.

Ideal for higher education settings, providing advanced mathematical depth for students and researchers.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
19 November 2021
Listed Since
30 April 2021

Barcode

No barcode data available

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