Results 221 to 230 of about 1,784,102 (271)

Replicable Bandits for Digital Health Interventions. [PDF]

open access: yesStat Sci
Zhang KW   +3 more
europepmc   +1 more source

From latent dynamics to data geometry: Nonlinear diffusion modelling for protein structures. [PDF]

open access: yesComput Struct Biotechnol J
Liang X   +3 more
europepmc   +1 more source

Efficient classical sampling from Gaussian boson sampling distributions on unweighted graphs. [PDF]

open access: yesNat Commun
Zhang Y   +7 more
europepmc   +1 more source

Probability and sampling

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
openaire   +2 more sources

Non-probability Sampling

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.
openaire   +4 more sources

Screening of Probability Samples

International Statistical Review / Revue Internationale de Statistique, 1984
A 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.
openaire   +2 more sources

Equal probability sampling

2019
AbstractThis chapter presents a formal quantitative treatment of material covered conceptually in Chapter 2, all with respect to equal probability with replacement (SWR) and without replacement selection simple random sampling, (SRS) of samples of size n from a finite population of size N. Small sample space examples are used to illustrate unbiasedness
David G. Hankin   +2 more
openaire   +1 more source

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