TY  - BOOK
TI  - Introduction to Small Area Estimation Techniques: A Practical Guide for National Statistics Offices
SN  - 9789292622237
AV  - NA2540.5 .A853 2020 
U1  - 361.32 
PY  - 2020///
CY  - Manila
PB  - Asian Development Bank
KW  - National Statistics
KW  - Electronic books
N1  - Cover -- Title -- Copyright -- Contents -- Tables, Figures, and Boxes -- Foreword -- Acknowledgments -- Abbreviations -- Chapter I: Introduction -- 1.1. What is Small Area Estimation and Why Do We Need It? -- Chapter II: Developing a Small Area Estimation Plan -- 2.1 Goal or Purpose of Small Area Estimation -- 2.2 Variable of Interest -- 2.3 Level of Disaggregation and Data Requirements -- 2.4 Approach to Small Area Estimation and Choosing a Specific Technique or Model -- 2.5 Quality Assessment of the Small Area Estimates -- 2.6 Dissemination Strategy for Presentation of the Small Area Estimates -- Chapter III: Data Management Using R -- 3.1 Overview of R and RStudio -- 3.2 Fundamentals of R -- 3.3 Data Manipulation Using dplyr and tidyr -- 3.4 Linear Regression in R -- 3.5 R Packages for Small Area Estimation -- Chapter IV: Approaches in Small Area Estimation -- 4.1 Direct Survey Estimation -- 4.2 Small Area Estimation Using Auxiliary Information -- 4.3 Small Area Estimation Using Regression-Based Models -- Chapter V: Visualizing Small Area Estimates Using R -- Chapter VI: Conclusion -- Appendixes -- 1. Description of R Packages Identified and Used in the Illustrations -- 2. Data Files Identified and Used in the Illustrations -- 3. Model Building -- References
UR  - https://ebookcentral.proquest.com/lib/orpp/detail.action?docID=6275204
ER  -