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The investigators used a stratified two-stage cluster probability design for each of the regions.
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The Gaussian Probability Design automatically searches for the sparseness of the data, and adds pairs of training data on both sides of a class boundary in areas where the data density is the lowest.
The sampling technique for the 2008 GDHS involved a two-stage stratified probability design.
Probability design and inverse probability design are also researched which lay a solid foundation for designing safe and reasonable blisk.
Sampling selection for NHANES III was based on a complex multistage area probability design.
It was a nationwide representative survey using a stratified, multistage probability sampling design for the selection of household units.
NHANES is a continuous sample survey that uses a complex, multistage, stratified geographic area probability sampling design for collecting nationally representative data from the non-institutionalized U.S. population[ 15].
This paper presents an overview of the research conducted at Lakehead University, and summarizes the assumptions and analyses used, related to probability-based design for reinforced concrete columns.
The survey is a nationally representative study that uses a stratified, multistage, probability-sampling design for the selection of household units.
Progress in Probability is designed for the publication of workshops, seminars and conference proceedings on all aspects of probability theory and stochastic processes, as well as their connections with and applications to other areas such as mathematical statistics and statistical physics.
A cost benefit analysis approach may be used effectively to define target probability for design in which failures result in only economic losses and consequences.
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