On the non‐recursive implementation of multistage sampling without replacement [PDF]
MethodsX, 2021 Variance estimation in multistage sampling without replacement usually requires considerable computational effort. One option is to implement explicit formulas on a computer, at least for some specific sampling designs.
Philippe Aubry
doaj +4 more sources
Foraging as sampling without replacement: A Bayesian statistical model for estimating biases in target selection. [PDF]
PLoS Computational Biology, 2022 Foraging entails finding multiple targets sequentially. In humans and other animals, a key observation has been a tendency to forage in 'runs' of the same target type.
Alasdair D F Clarke +2 more
doaj +2 more sources
Correction: Foraging as sampling without replacement: A Bayesian statistical model for estimating biases in target selection. [PDF]
PLoS Computational Biology, 2023 [This corrects the article DOI: 10.1371/journal.pcbi.1009813.].
Alasdair D F Clarke +2 more
doaj +2 more sources
New estimators for estimating population total: an application to water demand in Thailand under unequal probability sampling without replacement for missing data [PDF]
PeerJ, 2022 Water shortage could play an imperative role in the future due to an influx of water demand when compared to water supplies. Inadequate water could damage human life and other aspects related to living.
Chugiat Ponkaew, Nuanpan Lawson
doaj +3 more sources
Weighted sampling without replacement [PDF]
Brazilian Journal of Probability and Statistics, 2018 Comparing concentration properties of uniform sampling with and without replacement has a long history which can be traced back to the pioneer work of Hoeffding (1963). The goal of this short note is to extend this comparison to the case of non-uniform weights, using a coupling between the two samples.
Ben-Hamou, Anna +2 more
exaly +4 more sources
On the implementation of stratified two-stage simple random sampling without replacement, with possible collapsed strata [PDF]
MethodsXTwo-stage stratified sampling is a complex design that involves nested sampling units and stratification. This complexity increases when the strata have too few sampled units for variance estimation, necessitating the use of collapsed strata, where ...
Philippe Aubry
doaj +2 more sources
Nested case-control sampling without replacement. [PDF]
Lifetime Data AnalAbstractNested case–control design (NCC) is a cost-effective outcome-dependent design in epidemiology that collects all cases and a fixed number of controls at the time of case diagnosis from a large cohort. Due to inefficiency relative to full cohort studies, previous research developed various estimation methodologies but changing designs in the ...
Shin YE, Saegusa T.
europepmc +4 more sources
Log-ratio type estimation for the finite population mean under simple random sampling without replacement with theory, simulation and application [PDF]
Scientific ReportsWe propose two novel logarithmic ratio–type estimators for the finite-population mean under simple random sampling without replacement (SRSWOR). The estimators integrate a logarithmic transformation of the auxiliary variable to stabilize variance, reduce
Fazal Shakoor +5 more
doaj +2 more sources
The Distribution of Order Statistics Under Sampling Without Replacement
Journal of Statistical Theory and Applications (JSTA)This paper examines the distribution of order statistics taken from simple-random-sampling without replacement (SRSWOR) from a finite population with values $$1,\dots ,N$$ 1 , ⋯ , N .
B. O’Neill
doaj +2 more sources
Renewal Theory for Sampling Without Replacement
Annals of Probability, 1982 Let $\pi$ be a finite set, $\lambda$ a probability measure on $\pi, 0 0$ there exist constants $\delta > 0$ and $K > 0$ such that if $\rho = \max_{a\in\pi} \lambda(a) < \delta$ and $\mathrm{K}\rho < x < 1 - \mathrm{K}\rho$ then $\sum_{a\in\pi} |P(a, x) - \lambda(a)| < \varepsilon$.
Abraham Neyman
exaly +3 more sources