Estimation of general parameter in adaptive cluster sampling using two auxiliary variables
نویسندگان
چکیده
منابع مشابه
Variance Estimation in Two-phase Sampling Using Multi-auxiliary Variables in the Presence of Non-response
The problem of variance estimation in two phase sampling under non response was not considered in the literature. We have adapted the classes of variance estimators suggested by Srivastava and Jhajj (1980) into the two phase sampling under the strategy given by Hansen and Hurwitz (1946) for the problem of non-response. In this paper some more generalize classes of estimators for the population ...
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There are some experiences that researcher come across quite number of time for very large networks in the initial samples such that they cannot finish the sampling procedure. Two solutions have been proposed and used by marine biologists which we discuss in this article: i) Adaptive cluster sampling based on order statistics with a stopping rule, ii) Restricted adaptive cluster sampling. Until...
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Abstract: The precision of conventional sampling designs is not usually satisfactory for estimating parameters of clump and rare populations. Many of fish species live in school and disperse all over a vast area like a sea so that they are rare compare to their habitats. Theory of a class of sampling designs called adaptive sampling designs has rapidly grown during last decade which solv...
متن کاملApplication of adaptive sampling in fishery part 2: Truncated adaptive cluster sampling designs
There are some experiences that researcher come across quite number of time for very large networks in the initial samples such that they cannot finish the sampling procedure. Two solutions have been proposed and used by marine biologists which we discuss in this article: i) Adaptive cluster sampling based on order statistics with a stopping rule, ii) Restricted adaptive cluster sampling. Until...
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ژورنال
عنوان ژورنال: Journal of the National Science Foundation of Sri Lanka
سال: 2019
ISSN: 2362-0161,1391-4588
DOI: 10.4038/jnsfsr.v47i1.8933