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Generalized Systematic Sampling
Communications in Statistics - Simulation and Computation, 2014In this paper, we introduce a new systematic sampling design, called a Generalized Systematic Sampling (GSS), for estimation of finite population mean. The proposed design is found to be better than Simple Random Sampling (SRS) and the generalization of the several existing systematic sampling schemes such as, Linear Systematic Sampling (LSS), Diagonal
Zaheen Khan, Javid Shabbir, Sat Gupta
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On Modified Systematic Sampling
Biometrika, 1968SUMMARY In the presence of a linear trend in the population, a slight modification of the usual systematic sampling procedure is found to be highly effective in reducing the error variance of the estimator for the population mean. The efficiency of this modified design in the presence of certain trends, other than linear, such as 'random', 'quadratic ...
D. SINGH, K. K. JINDAL, J. N. GARG
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Systematic Sampling in Forestry
Biometrics, 1964Systematic sampling over irregular areas has been considered in forestry by Schumacher and Chapman [1942] and their method rejected on practical grounds by Finney [1948]. An application of systematic sampling with probabilities proportional to sizes (p. p. s.) proposed by Madow [1949] is given. Comparisons with systematic sampling non p. p.
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Biometrical Journal, 1987
AbstractIn the use of systematic sampling in surveys it is known that the effect of negative correlations (=ϱwst) between deviations from stratum means of pairs of items in the same systematic sample is such that the resulting variance V(ȳst) can be zero for systematic sample means ȳst (e.g., Cochran, 1977, ch. 8).
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AbstractIn the use of systematic sampling in surveys it is known that the effect of negative correlations (=ϱwst) between deviations from stratum means of pairs of items in the same systematic sample is such that the resulting variance V(ȳst) can be zero for systematic sample means ȳst (e.g., Cochran, 1977, ch. 8).
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The Variance of the Mean of Systematic Samples
Biometrika, 1956Systematic sampling methods have been used in a variety of fields, notably in forestry and ecological studies, because of their convenience in the field and their advantages over a randomized scheme if the survey is also to be used for mapping. Their use was justified by work such as that of Hasel (1938) and Osborne (1942), who examined the sampling ...
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2019
AbstractIn many contexts it is difficult or impossible to select a simple random sample. For example, the number of units in the finite population, N, may not be known in advance, or it may not be feasible to assign labels to all units in the population and to select an SRS from these labels (e.g., crabs within boxes on a fishing vessel).
David G. Hankin +2 more
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AbstractIn many contexts it is difficult or impossible to select a simple random sample. For example, the number of units in the finite population, N, may not be known in advance, or it may not be feasible to assign labels to all units in the population and to select an SRS from these labels (e.g., crabs within boxes on a fishing vessel).
David G. Hankin +2 more
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2012 International Conference on Statistics in Science, Business and Engineering (ICSSBE), 2012
Systematic sampling is a nonbiased method in recruitment selection process since it is a probability sampling. However, due to slow recruitment, we modified the systematic sampling and evaluate this technique in comparison with the conventional approach of systematic sampling.
Mohamad Adam Bujang +6 more
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Systematic sampling is a nonbiased method in recruitment selection process since it is a probability sampling. However, due to slow recruitment, we modified the systematic sampling and evaluate this technique in comparison with the conventional approach of systematic sampling.
Mohamad Adam Bujang +6 more
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Diagonal circular systematic sampling
Model Assisted Statistics and Applications, 2008In this paper a circular version of diagonal systematic sampling has been proposed. The proposed method is compared with the classical circular systematic sampling using natural populations, non-linear populations simulated from well known distributions and a super population model associated with linear trend.
S. Sampath, V. Varalakshmi
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Parameter Estimation in Systematic Sampling
Biometrical Journal, 1993AbstractFirst it is shown that an estimate of the variance of the sample‐mean in systematic sampling from a non‐autocorrelated population with linear trend, which is published in textbooks, isn't a suitable estimate: It is biased and not dependent on the essential parameter, the slope of the linear trend.In section 2 an unbiased estimate of the ...
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