Data is constantly increasing and data analysts are in higher demand than ever. This book is an essential guide to the role of data analyst. Aspiring data analysts will discover what data analysts do all day, what skills they will need for the role, and what regulations they will be required to adhe
Missing data analysis in practice
✍ Scribed by Raghunathan, Trivellore
- Publisher
- CRC Press
- Year
- 2015
- Tongue
- English
- Leaves
- 230
- Series
- Interdisciplinary statistics
- Category
- Library
No coin nor oath required. For personal study only.
✦ Table of Contents
Content: Basic Concepts --
Weighting Methods --
Imputation --
Multiple Imputation --
Regression Analysis --
Longitudinal Analysis with Missing Values --
Nonignorable Missing Data Mechanisms --
Other Applications --
Other Topics.
✦ Subjects
Математика;Теория вероятностей и математическая статистика;Математическая статистика;Прикладная математическая статистика;
📜 SIMILAR VOLUMES
Chapter 1 What are compositional data, and why are they special? -- chapter 2 Geometry and visualization of compositional data -- chapter 3 Logratio transformations -- chapter 4 Properties and distributions of logratios -- chapter 5 Regression models involving compositional data -- chapter 6 Dimensi
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