Arijit Chaudhuri Bücher

Focusing on survey techniques, this textbook offers a comprehensive exploration of modern survey sampling, emphasizing how samples can reveal insights about larger populations. It includes case studies, exercises, and solutions to enhance understanding. Key topics covered are model-assisted approaches and network sampling, alongside discussions on random processes. The author's extensive teaching experience informs the material, providing educators with effective tools to convey the complexities of survey sampling and modeling to students.

The updated edition of this comprehensive guide delves into the evolution of survey sampling since its first publication in 1992. It incorporates recent research findings and innovative methods, reflecting significant advancements in the field. The authors meticulously review decades of sampling literature, ensuring that readers are equipped with the latest theoretical insights and practical applications. This resource serves as an essential reference for researchers and practitioners seeking to enhance their understanding of survey sampling techniques.

The book explores the synergy of network sampling and adaptive sampling techniques, highlighting their effectiveness in identifying sparsely located elements within uncharted areas. It provides insights into how these methods can be combined to enhance data collection and improve sampling strategies in various research contexts.

The book offers insights from a leading expert in the field of RR, detailing its current state and future developments. It explores the extension of RR to scenarios involving unequal probability sampling and presents an analysis of various techniques, including item count, nominative, and three-card methods. This comprehensive examination provides valuable perspectives for those interested in advanced research methodologies.

Indirect questioning is a crucial topic in surveys of human populations. When the issue is about a stigmatizing characteristic (for example about illegal drug use), standard survey methodologies are destined to fail because, as expected, people are not willing to reveal incriminating information or information violating their privacy. Indirect questioning techniques have been devised so that the privacy of participants in a sample survey is protected and at the same time good estimates of certain parameters (e. g. the percentage of people in a certain community who use illegal drugs) can be delivered. The topic is modern and still under development. Indirect Questioning in Sample Surveys represents a collection of the most important and recent techniques of indirect questioning, including various versions of randomized response, the item count technique, the nominative technique, the three-card method, non-randomized response models and negative surveys, while also exploring the key aspect of protecting privacy.