Results 241 to 250 of about 3,700,207 (308)
Sampling: bridging probability and non-probability designs
International Journal of Social Research Methodology, 2013 This article reconceptualizes sampling in social research. It is argued that three inter-related a priori assumptions limit on the possibility of sample design, namely: (a) the ontology of the case, (b) the epistemological assumptions underpinning what properties are necessary to know the case and (c) the logistics involved in the process of ‘casing ...
Uprichard, E. +2 more
openaire +2 more sources
Some of the next articles are maybe not open access.
Related searches:
Related searches:
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
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
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.
openaire +2 more sources
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
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
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.
openaire +3 more sources