Results 251 to 260 of about 481,004 (314)
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British Dental Journal, 1989
The concept of probability is introduced, and the role of probability distributions in statistical theory is discussed, with particular reference to the Normal distribution and its characteristics. Sampling and sampling variation are described, together with sampling error, the standard error of the mean, and confidence intervals for determining the ...
J S, Bulman, J F, Osborn
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The concept of probability is introduced, and the role of probability distributions in statistical theory is discussed, with particular reference to the Normal distribution and its characteristics. Sampling and sampling variation are described, together with sampling error, the standard error of the mean, and confidence intervals for determining the ...
J S, Bulman, J F, Osborn
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Screening of Probability Samples
International Statistical Review / Revue Internationale de Statistique, 1984A screening technique is proposed for increasing the efficiency of sampling plans through the use of a concomitant variable. A procedure for determining the optimum screening limits is discussed. The technique is reviewed under certain superpopulation models.
Tam, S. M., Chan, N. N.
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2016
A sample is a subset of a population and we survey the units from the sample with the aim to learn about the entire population. However, the sampling theory was basically developed for probability sampling, where all units in the population have known and positive probabilities of inclusion. This definition implicitly involves randomization, which is a
Vehovar, V., Toepoel, V., Steinmetz, S.
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A sample is a subset of a population and we survey the units from the sample with the aim to learn about the entire population. However, the sampling theory was basically developed for probability sampling, where all units in the population have known and positive probabilities of inclusion. This definition implicitly involves randomization, which is a
Vehovar, V., Toepoel, V., Steinmetz, S.
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Sampling derivatives of probabilities
Computing, 1989The author considers following problem from sensitivity analysis, i.e., how to calculate by means of Monte Carlo methods values of \(\partial /\partial x\int H(y)d\mu_ x(y)\) where \(\mu_ x\) is a family of probability measures depending on x and H(y) is a real valued function.
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Probability sampling of manual asymmetry
Neuropsychologia, 1976Abstract Random sampled survey data on handedness are presented. One thousand-two-hundred-ninety-nine urban adult subjects, screened for history of significant brain damage were asked specific questions about their hand use preferences, and about use of the other hand, including any such preference earlier in their life. On the basis of these reports,
A L, Thompson, J F, Marsh
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An unequal probability sampling scheme
Biometrika, 1986A new sampling scheme, with probability of inclusion proportional to size, is proposed for a sample of given size n. It satisfies many requirements of a good sampling scheme under conditions usually met in practice. Empirical exploration of the feasibility of the proposed sampling scheme and of the stability of its variance, shows satisfactory ...
Saxena, R. R. +2 more
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Blood Samples : Probability of Discrimination
Journal of the Forensic Science Society, 1972The paper shows how to calculate the probability of being able to discriminate between two blood samples using a single test. The distribution of the population with respect to this test criterion is assumed to be known. The paper goes on to describe how to calculate the probability of being able to discriminate between two blood samples using a ...
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MDDs: Sampling and Probability Constraints
2017We propose to combine two successful techniques of Artificial Intelligence: sampling and Multi-valued Decision Diagrams (MDDs). Sampling, and notably Markov sampling, is often used to generate data resembling to a corpus. However, this generation has usually to respect some additional constraints, for instance to avoid plagiarism or to respect some ...
Guillaume Perez, Jean-Charles Régin
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Microprogramming for probability distribution sampling
Proceedings of the ACM annual conference on - ACM'72, 1972Microprogramming of special instructions for sampling of random variates from any probability distribution is a means of increasing sampling speed. The diversity of sampling techniques is narrowed to one general algorithm; conditional bit sampling.
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On inverse sampling with unequal probabilities
Biometrika, 1964SUMMARY Sampford (1962) has considered the following sampling scheme to select a sample with n distinct population units. Sampling with unequal probabilities with replacement is carried out until (n + 1) different population units are selected, the last unit is not recorded in the sample to insure some simplicity in the estimation procedure. The method
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