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A Convenient Algorithm for Drawing a Simple Random Sample
Applied Statistics, 1983A convenient one‐pass algorithm for drawing a simple random sample without replacement of size n from a population of N members, when N is initially unknown, is presented. Moreover, even when N is known, this algorithm appears to be more efficient than previously suggested algorithms when the entire population is stored in the fast memory of the ...
McLeod, A. I., Bellhouse, D. R.
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1996
In this book, we shall consider various sampling procedures (schemes) for selection of units in the sample. Since the objective of a survey is to make 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.
Ravindra Singh, Naurang Singh Mangat
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In this book, we shall consider various sampling procedures (schemes) for selection of units in the sample. Since the objective of a survey is to make 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.
Ravindra Singh, Naurang Singh Mangat
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2003
Simple Random Sampling (SRS) is the simplest and most common method of selecting a sample, in which the sample is selected unit by unit, with equal probability of selection for each unit at each draw. In other words, simple random sampling is a method of selecting a sample s of n units from a population Ω of size N by giving equal probability of ...
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Simple Random Sampling (SRS) is the simplest and most common method of selecting a sample, in which the sample is selected unit by unit, with equal probability of selection for each unit at each draw. In other words, simple random sampling is a method of selecting a sample s of n units from a population Ω of size N by giving equal probability of ...
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1988
Summary The primary object of this article is to show that for estimating the population mean under three commonly used forms of simple random sampling, the sample mean based only on the distinct units possesses the following remarkable invariance property: It is admissible, unbiased, and asymptotically normally distributed if and only if the Erdos ...
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Summary The primary object of this article is to show that for estimating the population mean under three commonly used forms of simple random sampling, the sample mean based only on the distinct units possesses the following remarkable invariance property: It is admissible, unbiased, and asymptotically normally distributed if and only if the Erdos ...
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Ratio estimators for the population variance in simple and stratified random sampling
Applied Mathematics and Computation, 2006Cem Kadilar
exaly