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Titlebook: Elements of Survey Sampling; Ravindra Singh,Naurang Singh Mangat Book 1996 Springer Science+Business Media Dordrecht 1996 Distribution.Est

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Simple Random Sampling, inferences about the population, a procedure that provides a precise estimator of the parameter of interest is desirable. Many sampling schemes have been developed to achieve this objective. To begin with, simple random sampling, the simplest and the most basic sample selection procedure, is discussed.
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Sampling from Mobile Populations,ion, natural selection, evolution, maintenance of many ., and so on. Unlike other populations considered in previous chapters, the sampling units in the wildlife populations do not remain fixed at one place. They are rather highly mobile. Therefore, for mobile populations, it is essential to use alternative approach for sampling and estimation.
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https://doi.org/10.1007/978-3-7643-8190-5ple. However, when the units vary considerably in size, SRS does not seem to be an appropriate procedure, since it does not take into account the possible importance of the size of the unit. Under such circumstances, selection of units with unequal probabilities may provide more efficient estimators
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https://doi.org/10.1007/3-540-28854-6Therefore, apart from increasing the sample size, another possible way to increase the precision of the estimate could be to divide the population units into certain number of groups, such that the variability within the groups is minimum whereas it is maximum between the groups. Smaller samples cou
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