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This book explores missing data techniques and provides a detailed and easy-to-read introduction to multiple imputation, covering the theoretical aspects of the topic and offering hands-on help with the implementation.
This concise course in principled data analysis for the mathematically literate uses survey sampling and designed experiments as a... Læs mere
Complex Survey Data Analysis with SAS® is an invaluable resource for applied researchers analyzing data generated from a sample design involving any combination of... Læs mere
This book is focused on one of the two major topics of doing data analysis: data visualization, aka, computer graphics. In one place the major R systems for... Læs mere
This book is written to assist those students and practicing engineers who wish to study MATLAB to solve control engineering problems. It is written at the level of the senior engineering student.
This third edition covers today’s most commonly used techniques in computational statistics while maintaining the same philosophy and writing style of the... Læs mere
An Introduction to Stata for Health Researchers, Fifth Edition updates this classic book that has become a standard reference for health researchers.
A culmination of the authors' years of extensive research on this topic, "Relational Data Clustering: Models, Algorithms, and Applications" addresses the fundamentals and applications of relational data clustering.