01259nam a2200313 i 450099100172719970753620020503152935.0000704s1985 it ||| | ita 8805038512b10264310-39ule_instEXGIL90519ExLBiblioteca Interfacoltàita330.967Dumont, Rene374598L'Africa strangolata :Zambia, Tanzania, Senegal, Costa d'Avorio, Guinea Bissau, Capo Verde /Rene Dumont, Marie-France MottinTorino :SEI,[1985]VII, 239 p. ;22 cm.La nuova AfricaTrad. di Sandra ScagliottiTit. orig.: L'Afrique étrangléePaesi industrializzati e Paesi in via di sviluppoRelazioni economiche e commercialiAfrica centraleEconomiaMottin, Marie Franceauthorhttp://id.loc.gov/vocabulary/relators/aut183356.b1026431002-04-1427-06-02991001727199707536LE002 St. XVII M 912002000714008le002-E0.00-l- 02120.i1031542127-06-02Africa strangolata1301377UNISALENTOle00201-01-00ma -itait 2103533nam 22005895 450 991048459090332120250311221008.09789811606229981160622610.1007/978-981-16-0622-9(CKB)4100000011918699(DE-He213)978-981-16-0622-9(MiAaPQ)EBC6607506(Au-PeEL)EBL6607506(OCoLC)1250347879(PPN)255887485(EXLCZ)99410000001191869920210507d2021 u| 0engurnn#008mamaatxtrdacontentcrdamediacrrdacarrierAdvanced Sampling Methods /by Raosaheb Latpate, Jayant Kshirsagar, Vinod Kumar Gupta, Girish Chandra1st ed. 2021.Singapore :Springer Nature Singapore :Imprint: Springer,2021.1 online resource (XVII, 301 p. 23 illus., 13 illus. in color.)9789811606212 9811606218 -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.StatisticsStatisticsMathematical statisticsData processingStatistical Theory and MethodsBayesian InferenceStatistics and ComputingStatistics.Statistics.Mathematical statisticsData processing.Statistical Theory and Methods.Bayesian Inference.Statistics and Computing.519.52Latpate Raosaheb917590MiAaPQMiAaPQMiAaPQBOOK9910484590903321Advanced Sampling Methods2057262UNINA