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024 7 $a10.1007/978-981-16-0622-9
035   $a(CKB)4100000011918699
035   $a(DE-He213)978-981-16-0622-9
035   $a(MiAaPQ)EBC6607506
035   $a(Au-PeEL)EBL6607506
035   $a(OCoLC)1250347879
035   $a(PPN)255887485
035   $a(EXLCZ)994100000011918699
100   $a20210507d2021      u|         0
101 0 $aeng
135   $aurnn#008mamaa
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aAdvanced Sampling Methods /$fby Raosaheb Latpate, Jayant Kshirsagar, Vinod Kumar Gupta, Girish Chandra
205   $a1st ed. 2021.
210  1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2021.
215   $a1 online resource (XVII, 301 p. 23 illus., 13 illus. in color.)
311 08$a9789811606212 
311 08$a9811606218 
327   $a-1. Introduction -- 2. Simple Random Sampling -- 3. Stratied Random Sampling -- 4. Cluster Sampling -- 5. Double Sampling -- 6. Probability Proportional to Size Sampling -- 7. Systematic Sampling -- 8. Resampling Techniques -- 9. Adaptive Cluster Sampling -- 10. Two-Stage Adaptive Cluster Sampling -- 11. Adaptive Cluster Double Sampling -- 12. Inverse Adaptive Cluster Sampling -- 13. Two Stage Inverse Adaptive Cluster Sampling -- 14. Stratified Inverse Adaptive Cluster Sampling -- 15. Negative Adaptive Cluster Sampling -- 16. Negative Adaptive Cluster Double Sampling -- 17. Two- Stage Negative Adaptive Cluster Sampling -- 18. Balanced and Unbalanced Ranked Set Sampling -- 19. Ranked Set Sampling in Other Parameter Estimation and Non-Parametric Inference -- 20. Important Versions of Ranked Set Sampling -- 21. Sampling Errors.
330   $aThis book discusses all major topics on survey sampling and estimation. It covers traditional as well as advanced sampling methods related to the spatial populations. The book presents real-world applications of major sampling methods and illustrates them with the R software. As a large sample size is not cost-efficient, this book introduces a new method by using the domain knowledge of the negative correlation between the variable of interest and the auxiliary variable in order to control the size of a sample. In addition, the book focuses on adaptive cluster sampling, rank-set sampling and their applications in real life. Advance methods discussed in the book have tremendous applications in ecology, environmental science, health science, forestry, bio-sciences, and humanities. This book is targeted as a text for undergraduate and graduate students of statistics, as well as researchers in various disciplines.
606   $aStatistics
606   $aStatistics
606   $aMathematical statistics$xData processing
606   $aStatistical Theory and Methods
606   $aBayesian Inference
606   $aStatistics and Computing
615  0$aStatistics.
615  0$aStatistics.
615  0$aMathematical statistics$xData processing.
615 14$aStatistical Theory and Methods.
615 24$aBayesian Inference.
615 24$aStatistics and Computing.
676   $a519.52
700   $aLatpate$b Raosaheb$0917590
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910484590903321
996   $aAdvanced Sampling Methods$92057262
997   $aUNINA