1992BiometrikaRequires access

Markov Sampling for Finite Populations

K. Suresh Chandra, S. Sampath, G.K. Balasubramani

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Abstract

In this paper we have introduced a new sampling scheme for a finite population, called a Markov sampling scheme, which always provides distinct units for a fixed sample size. The utility of this sampling over conventional simple random sampling and systematic sampling is discussed for certain categories of labelled populations.

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What this paper is about

In this paper we have introduced a new sampling scheme for a finite population, called a Markov sampling scheme, which always provides distinct units for a fixed sample size. The utility of this sampling over conventional simple random sampling and systematic sampling is discussed for certain categories of labelled populations.

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Available abstract

In this paper we have introduced a new sampling scheme for a finite population, called a Markov sampling scheme, which always provides distinct units for a fixed sample size. The utility of this sampling over conventional simple random sampling and systematic sampling is discussed for certain categories of labelled populations.

Key concepts: Poisson sampling, Simple random sample, Mathematics, Sampling (signal processing), Sampling design, Sampling scheme, Markov chain, Statistics

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