A Comprehensive Textbook on Sample Surveys

This book provides alternative approaches to survey sampling, focusing on model formulations, design-based procedures, and inference and interpretation. It covers Bayesian and Empirical Bayesian approaches, stratification, clustering, multi-stage and phase sampling, linear and non-linear estimation, small area estimation, network and adaptive sampling methods, and includes detailed case studies and exercises. It is valuable for students of statistics, specifically survey sampling.

Format: Paperback / softback
Length: 257 pages
Publication date: 09 May 2023
Publisher: Springer Verlag, Singapore

This comprehensive textbook serves as a valuable resource in the field of survey sampling, offering a comprehensive exploration of the limitations of traditional, designed-based inferential procedures. It presents alternative approaches in the form of model formulations, model-design-based procedures of analysis, inference, and interpretation. The book delves into a diverse range of topics, encompassing Bayesian and Empirical Bayesian approaches, intricate stratification techniques, clustering analysis, multi-stage and phased sampling strategies, linear and non-linear parameter estimation, small area estimation through spatial and chronological modeling, network and adaptive sampling methods, and more. Furthermore, it includes detailed case studies and exercises, making it an invaluable resource for students of statistics, particularly those specializing in survey sampling. By presenting these alternative methodologies, the book empowers readers to overcome the constraints of traditional approaches and gain a deeper understanding of the statistical analysis of survey data.

Weight: 438g
Dimension: 235 x 155 (mm)
ISBN-13: 9789811914201
Edition number: 1st ed. 2022