Results 31 to 40 of about 970,960 (297)
Composite samples in environmental studies
In ecological studies, bulk material such as soil, water, plant material etc. is commonly investigated. An important feature of bulk sampling is the possibility of physical mixing of initial increments of material into a composite sample.
Katarina KOŠMELJ
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Background: Surveys of immigrants face challenges of coverage, representativeness, and response rates. Longitudinal studies of immigrants and ethnic minorities, which have potential to address pressing issues in demographic research, are rare or partial.
Peter Lynn +3 more
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Using Judgment Post Stratification in Two Stage Cluster Sampling
The judgment post stratification is a method of stratification of observation by using a key variable, such that stratification will be done after selecting the sample. In this paper, this method will use in two stage cluster sampling.
Ali Najafi Majid Abadi +2 more
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A jackknife variance estimator for self-weighted two-stage samples
Self-weighted two-stage sampling designs are popular in practice as they simplify field-work. It is common in practice to compute variance estimates only from the first sampling stage, neglecting the second stage.
Escobar, E.L., Berger, Y.G.
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Remaining Useful Life Prediction Using a Novel Two-Stage Wiener Process With Stage Correlation
Remaining useful life (RUL) prediction of products is a critical component of prognostics and health management. Recently, the RUL prediction based on a two-stage degradation process has received increasing attention.
Hongyu Wang, Yu Zhao, Xiaobing Ma
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Halton Sampling for Image Registration Based on Mutual Information
Mutual information is a widely used similarity measure for aligning multimodal medical images. At its core, it relies on the computation of a discrete joint histogram, which itself requires image samples for its estimation.
Michel Bierlaire +5 more
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Forest density and orchard classification in Hyrcanian forests of Iran using Landsat 8 data
Satellite-based remote sensing is of crucial importance to provide timely and continuous thematic maps for practical forestry tasks. There is currently no existing remote sensing-based, large-scale inventory of canopy cover classes (and also adjacent ...
Khosrow MIRAKHORLOU, Reza AKHAVAN
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Optimal Two-Stage Stratified Sampling
Suppose that a fixed total number $N$ of observations are to be made in a population $Pi$ which is composed of two strata $\Pi_1$ and $\Pi_2$. For $i = 1, 2$, it is assumed that each observation in the stratum $\Pi_i$ has a normal distribution with unknown mean $\theta_i$ and specified precision $r_i (r_i > 0)$.
DeGroot, M. H., Starr, N.
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Technical Note—Two-Stage Sample Robust Optimization
In “Two-Stage Sample Robust Optimization,” Bertsimas, Shtern, and Sturt investigate a simple approximation scheme, based on overlapping linear decision rules, for solving data-driven two-stage distributionally robust optimization problems with the type-infinity Wasserstein ambiguity set.
Dimitris Bertsimas +2 more
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Summary Some interesting results in the theory of two-stage sampling are presented. These follow a simple proposition in probability which facilitates further deductions.
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