001446621 000__ 03379cam\a2200505Ia\4500
001446621 001__ 1446621
001446621 003__ OCoLC
001446621 005__ 20230310004009.0
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001446621 019__ $$a1315536957$$a1317333843
001446621 020__ $$a9789811914188$$q(electronic bk.)
001446621 020__ $$a9811914184$$q(electronic bk.)
001446621 020__ $$z9811914176
001446621 020__ $$z9789811914171
001446621 0247_ $$a10.1007/978-981-19-1418-8$$2doi
001446621 035__ $$aSP(OCoLC)1315741218
001446621 040__ $$aYDX$$beng$$cYDX$$dGW5XE$$dEBLCP$$dOCLCF$$dSFB$$dUKAHL$$dOCLCQ
001446621 049__ $$aISEA
001446621 050_4 $$aQA276.6
001446621 08204 $$a519.5/2$$223/eng/20220519
001446621 1001_ $$aChaudhuri, Arijit,$$d1940-,$$eauthor.
001446621 24510 $$aComprehensive textbook of sample surveys /$$cArijit Chaudhuri, Sanghamitra Pal.
001446621 260__ $$aSingapore :$$bSpringer,$$c2022.
001446621 300__ $$a1 online resource.
001446621 4901_ $$aIndian Statistical Institute series
001446621 504__ $$aIncludes bibliographical references.
001446621 5050_ $$a1. 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.
001446621 506__ $$aAccess limited to authorized users.
001446621 520__ $$aAs 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. .
001446621 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed May 19, 2022).
001446621 650_0 $$aSampling (Statistics)
001446621 650_0 $$aSocial surveys$$xMethodology.
001446621 655_7 $$aLlibres electrònics.$$2thub
001446621 655_0 $$aElectronic books.
001446621 7001_ $$aPal, Sanghamitra,$$eauthor.
001446621 77608 $$iPrint version: $$z9811914176$$z9789811914171$$w(OCoLC)1301900541
001446621 830_0 $$aIndian Statistical Institute series.
001446621 852__ $$bebk
001446621 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-19-1418-8$$zOnline Access$$91397441.1
001446621 909CO $$ooai:library.usi.edu:1446621$$pGLOBAL_SET
001446621 980__ $$aBIB
001446621 980__ $$aEBOOK
001446621 982__ $$aEbook
001446621 983__ $$aOnline
001446621 994__ $$a92$$bISE