Results 91 to 100 of about 345,105 (284)
Parameter Estimation based on Neoteric Ranked Set Samples with Applications to Weibull Distribution. [PDF]
The Egyptian Statistical JournalThis paper investigates the parameter estimation in a Weibull distribution using Neoteric Ranked Set Sampling (NRSS) designs, thus extending the earlier study by Sabry et al. (2020).
Mohamed Sabry +2 more
doaj +1 more source
Empirical likelihood confidence intervals for complex sampling designs
, 2016 We define an empirical likelihood approach which gives consistent design-based confidence intervals which can be calculated without the need of variance estimates, design effects, resampling, joint inclusion probabilities and linearization, even when the
De La Riva Torres, O., Berger, Y.G.
core +1 more source
T1 Over Squared Proton Density Ratio to Characterize Multiple Sclerosis Lesions
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Differentiating remyelinated from demyelinated lesions in MS remains challenging without histological confirmation. This study introduces the T1‐to‐PD2 ratio (TPR) imaging approach and evaluates its ability to characterize MS lesions alongside other quantitative MRI (qMRI) metrics. Methods Thirty individuals with MS (mean age: 47.5 ±
Sarah J. Wright +10 more
wiley +1 more source
Composite Estimators for the Population Mean Under Ranked Set Sampling
MathematicsRanked Set Sampling (RSS) is an effective sampling technique, particularly when precise measurement of the study variable is costly or time-consuming, but ranking the units is relatively easy.
Sayed A. Mostafa +2 more
doaj +1 more source
Journal of the Royal Statistical Society Series B: Statistical Methodology, 1978 Summary Given a finite population consisting of N units, it is desired to have a confidence interval for the (t/N)th quantile, Y (t), of the population. Assuming simple random sampling, a confidence interval procedure is suggested and several expressions for the associated confidence coefficient are given.
Sedransk, J., Meyer, J.
openaire +2 more sources
Nested sampling for Potts models
, 2006 Nested sampling is a new Monte Carlo method by Skilling [1] intended for general Bayesian computation. Nested sampling provides a robust alternative to annealing-based methods for computing normalizing constants.
Skilling, John +7 more
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CAN SIMPLE RANDOM SAMPLING CONFIDENCE INTERVALS BE USED ON TRANSECT SAMPLING DATA?
, 1993 When sampling geographic regions, transect sampling may be easier and cheaper than simple random sampling. However, transect sampling data is more difficult to analyze.
Noble, William, William Noble
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Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objectives Focal cortical dysplasia (FCD) is the most common etiology of drug‐resistant epilepsy in children. Focal to bilateral tonic–clonic seizures (FBTCS) mark a high risk of drug‐resistant epilepsy and involve thalamocortical circuitry in their generation and propagation.
Hua Xie +8 more
wiley +1 more source
Evaluating Sampling Methods for Content Analysis of Twitter Data
Social Media + Society, 2018 Despite the existing evaluation of the sampling options for periodical media content, only a few empirical studies have examined whether probability sampling methods can be applicable to social media content other than simple random sampling.
Hwalbin Kim +3 more
doaj +1 more source
Exact methods for comparison of estimation strategies in survey sampling.
, 2010 PhDMany strategies in survey sampling depend on large sample approximation formulae for design-based inference on finite population parameters, which are not valid for small samples. We develop an approach using matrix algebra to tackle many problems
Khan, Kaleem Uddin
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