Results 141 to 150 of about 232,423 (182)
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A New Look at Sampling with Partial Replacement

Forestry sciences, 1984
Estimators for use with sampling with partial replacement (SPR) on two occasions are reviewed. Estimation of both current values and change in those values is considered.
C. Scott
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Chance Expectancy, Sample Size, Replacement and Non-Replacement Sampling

Psychological Reports, 1966
This study investigates the influence of sample size, non-replacement and replacement sampling on the number of MMPI items which will reach significance levels of .05, .01, and .001 purely by chance. The results show that replacement sampling of a VA NP population gives a more stable sampling distribution than non-replacement sampling.
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Jackknife and Bootstrap Estimation for Sampling with Partial Replacement

Forestry sciences, 1987
Jackknife and bootstrap estimators and variance estimators were compared with a classical estimator and variance estimator for sampling with partial replacement (SPR) on two occasions. One hundred twenty plots were sampled at time 1. At time 2, 10, 20,
H. Schreuder, H. Li, C. Scott
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On Testing the Randomness of Sampling without Replacement

Theory of Probability & Its Applications, 1961
The limit distribution of a $\chi ^2 $-test statistic for the case of sampling without replacement is studied. The results obtained are used for checking the randomness of sampling.
Bavarov, E. A., Belyaev, P. F.
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Comparison of Sampling Schemes with and without Replacement

Mathematical Notes, 2003
This paper presents results on stopping times and stopping configurations of the following urn schemes. \(N_a\) balls of \(N\) different colors are initially given in an urn, where the number of balls of each color is exactly \(a\); balls are drawn one after another with or without replacement (all balls in the urn are equally likely to be drawn); the ...
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Sampling without replacement: history and applications

NTM International Journal of History and Ethics of Natural Sciences, Technology and Medicine, 2002
The problem of sampling without replacement is being traced back until the Jewish Torah and the Talmud. In 1657 Christian Huygens was the first to formulate this problem mathematically. Other special cases were considered by Jacob Bernoulli (1713) and by Abraham de Moivre (1756).
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Concentration Inequalities for Samples without Replacement

Theory of Probability & Its Applications, 2017
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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On Sampling Without Replacement with Unequal Probabilities of Selection

Biometrika, 1967
A sample of n different units is to be drawn from a population or stratum in such a way that unit i has probability np,, assumed less than 1, of appearing in the sample. A mathematical solution of this problem is given by a formula from which the required probability of selection of any possible sample can be calculated: this formula is an extension of
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