Titlebook: Advanced Sampling Methods; Raosaheb Latpate,Jayant Kshirsagar,Girish Chandra Textbook 2021 The Editor(s) (if applicable) and The Author(s)

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EVICT

https://doi.org/10.1007/978-3-662-59608-1its in the initial sample. It means, if one finds what he/she is looking for at a particular location then he/she would sample in the vicinity of that location with the hope of obtaining more information.

anaphylaxis

Hans-Dieter G?rtz,Franz Brümmerol of the final sample size. There have been several suggestions for limiting this final sample size of adaptive cluster samples. In this design, traveling costs are increased because the second phase sample is selected after the first phase sample is completed. In the second phase of the sampling d

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wangle

Werner Buselmaier,Joana Haussigmethods provide poor estimates of the population mean/total. In such situations, adaptive sampling is useful. In traditional stratified sampling, similar units are grouped a priori into strata, based on prior information about the population. But within a stratum, the population is rare and clumped.

esculent

https://doi.org/10.1007/978-3-662-56470-7ustered population, it suffers from the drawback of losing control of the final sample size. Several suggestions have been made by the different researchers for limiting this final sample size of the adaptive cluster sample. For instance, Salehi and Seber (., .) suggested a two-stage sampling design

CHOP

Headstrong

evasive

https://doi.org/10.1007/978-3-540-29375-0nit, costs involved, destruction of the sampling unit (especially when repeated measurements are required in the sample), etc. McIntyre (.) proposed a sampling method to provide the precise estimates for the grass and pasture yield in Australia.

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