Results 211 to 220 of about 707,184 (259)
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Random Sample

Science, 2013
Reminders of home can hinder an immigrant's ability to speak a new language, and ocean models helped an Australian swimmer become familiar with the Florida Straits.
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Sequential random sampling

ACM Transactions on Mathematical Software, 1985
Fast algorithms for selecting a random set of exactly k records from a file of n records are constructed. Selection is sequential: the sample records are chosen in the same order in which they occur in the file. All procedures run in O(k) time.
Joachim H. Ahrens, Ulrich Dieter
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A note on random sampling

Information Processing Letters, 1988
Le probleme suivant est etudie: etant donnes deux entiers positifs n et k, generer un sous ensemble de k elements R≤ {1,2,..., n} (avec distribution uniforme)
Marek Chrobak, Richard Harter
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Random samples

Analytical Methods, 2014
Chemical analysis is undertaken to help us make decisions about particular masses of a test material. Does this shipment of peanuts fall within the permitted limit for the concentration of aflatoxins? What should I pay for this batch of tin ore? How much phosphate fertiliser should I apply to this field?
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Randomized quasi-random sampling/importance resampling

Communications in Statistics - Simulation and Computation, 2018
Sampling/importance resampling method is widely used in Bayesian statistics. Literatures have carried out a variety of improvements to promote the computational expanse and the accuracy.
Jianhui Ning, Huiqiang Tao
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Random sampling of Euler tours

Algorithmica, 1997
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Prasad Tetali, Santosh S. Vempala
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A Random Samples Clarification

Science, 2003
The brief report (“Dark memory,” Random Samples, 28 March, p. 1979) on my move from the University of Washington (UW) to the University of California, Irvine (UCI) requires clarification. After an investigation of my activities in regard to a dubious case history, I was completely exonerated. My collaborator, M. J.
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Learning in Games by Random Sampling

Journal of Economic Theory, 2001
The authors study repeated interactions among a fixed set of ``low rationality'' players who have status quo actions, randomly sample other actions, and change their status quo if the sampled action yields a higher payoff. This behavior generates a random process, the better-reply dynamics. Long run behaviour leads to Nash equilibrium in games with the
James W. Friedman, Claudio Mezzetti
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