03251nam 2200517 450 99646639740331620230421105433.0981-16-0622-610.1007/978-981-16-0622-9(CKB)4100000011918699(DE-He213)978-981-16-0622-9(MiAaPQ)EBC6607506(Au-PeEL)EBL6607506(OCoLC)1250347879(PPN)255887485(EXLCZ)99410000001191869920220119d2021 uy 0engurnn#008mamaatxtrdacontentcrdamediacrrdacarrierAdvanced sampling methods /Raosaheb Latpate [and three others]1st ed. 2021.Singapore :Springer,[2021]©20211 online resource (XVII, 301 p. 23 illus., 13 illus. in color.)981-16-0621-8 -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.This 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.Sampling (Statistics)R (Computer program language)Mostreig (Estadística)thubLlibres electrònicsthubSampling (Statistics)R (Computer program language)Mostreig (Estadística)519.52Latpate Raosaheb917590MiAaPQMiAaPQMiAaPQBOOK996466397403316Advanced Sampling Methods2057262UNISA