Comprehensive textbook of sample surveys / Arijit Chaudhuri, Sanghamitra Pal.
Chaudhuri, Arijit, 1940-, author.; Pal, Sanghamitra, author.
2022
QA276.6
Available Online

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Title Comprehensive textbook of sample surveys / Arijit Chaudhuri, Sanghamitra Pal.
Author Chaudhuri, Arijit, 1940-, author.
ISBN 9789811914188 (electronic bk.)
9811914184 (electronic bk.)
9811914176
9789811914171
DOI https://doi.org/10.1007/978-981-19-1418-8
Publication Details Singapore : Springer, 2022.
Language English
Description 1 online resource.
Item Number 10.1007/978-981-19-1418-8 doi
Call Number QA276.6
Dewey Decimal Classification 519.5/2
Summary As a comprehensive textbook in survey sampling, this book discusses the inadequacies of classic, designed-based inferential procedures and provides alternative approaches in the form of model formulations, model-design-based procedures of analysis, inference and interpretation. The book focuses on a wide range of topics which included Bayesian and Empirical Bayesian approaches, complex procedures of stratification, clustering, sampling in multi stages and phases, linear and non-linear estimation of parameters, small area estimation by spatial and chronological modelling, network and adaptive sampling methods and more. The book includes detailed case studies and exercises, making it valuable for students of statistics, specifically survey sampling. .
Bibliography, etc. Note Includes bibliographical references.
Access Note Access limited to authorized users.
Source of Description Online resource; title from PDF title page (SpringerLink, viewed May 19, 2022).
Added Author Pal, Sanghamitra, author.
Series Indian Statistical Institute series.
Available in Other Form Print version: 9789811914171
Linked Resources Online Access
Record Appears in Online Resources > Ebooks
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1. Meaning and purpose of Survey Sampling
2. Inference in Survey Sampling
3. Sampling with Varying Probabilities
4. Fixing the size of an Equal Probability Sample
5. Adjusting Unit-Nonresponse by weighting & Tackling Item-Nonresponse by Imputation
6. Randomized Response & Indirect Survey Techniques
7. Super-Population Modeling. Model-Assisted Approach. Asymptotics
8. Prediction Approach: Robustness, Bayesian Methods, Empirical Bayes
9. Small Area Estimation & Developing Small Domain Statistics
10. Estimation of non-linear Parametric functions
11. Permanent random numbers, Poisson Sampling and Collocated Sampling
12. Network and Adaptive Sampling
13. Fixing size of a sample in Complex Strategies
14. Inadequate and Multiple Frame Data and Conditional Inference
15. Study of Analytical Surveys
An Epilogue
References.

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