LEADER 03341nam  22005295  450 
001 9910733713503321
005 20251113200201.0
010   $a9789811914188$b(electronic bk.)
010   $a9811914184$b(electronic bk.)
024 7 $a10.1007/978-981-19-1418-8
035   $a(MiAaPQ)EBC6978007
035   $a(Au-PeEL)EBL6978007
035   $a(CKB)22144691300041
035   $a(PPN)269155384
035   $a(OCoLC)1315741218
035   $a(DE-He213)978-981-19-1418-8
035   $a(EXLCZ)9922144691300041
100   $a20220508d2022      u|         0
101 0 $aeng
135   $aurcnu||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 12$aA Comprehensive Textbook on Sample Surveys /$fby Arijit Chaudhuri, Sanghamitra Pal
205   $a1st ed. 2022.
210  1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2022.
215   $a1 online resource (xxiv, 257 pages)
225 1 $aIndian Statistical Institute Series,$x2523-3122
311 08$aPrint version: Chaudhuri, Arijit A Comprehensive Textbook on Sample Surveys Singapore : Springer,c2022 9789811914171 
320   $aIncludes bibliographical references.
327   $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. .
330   $aAs a comprehensive textbook in survey sampling, this book discusses the inadequacies of classic, designed-based inferential procedures and provides alternative approaches in the form of model formulations, model-design-based procedures of analysis, inference and interpretation. The book focuses on a wide range of topics which included Bayesian and Empirical Bayesian approaches, complex procedures of stratification, clustering, sampling in multi stages and phases, linear and non-linear estimation of parameters, small area estimation by spatial and chronological modelling, network and adaptive sampling methods and more. The book includes detailed case studies and exercises, making it valuable for students of statistics, specifically survey sampling. .
410  0$aIndian Statistical Institute Series,$x2523-3122
606   $aStatistics
606   $aStatistics
615  0$aStatistics.
615 14$aStatistics.
676   $a519.52
700   $aChaudhuri$b Arijit$f1940-$0102935
702   $aPal$b Sanghamitra
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910733713503321
996   $aA Comprehensive Textbook on Sample Surveys$94489089
997   $aUNINA