Results 21 to 30 of about 10,169,362 (317)
Mathematical Problems in Engineering, 2022 In this article, we propose an improved estimator for finite population variance based on stratified sampling by using the auxiliary variable as well as the rank of the auxiliary variable.
S. Ahmad +5 more
semanticscholar +1 more source
Robust Lavallee-Hidiroglou stratified sampling strategy
Survey Research Methods, 2012 There are several reasons why robust regression techniques are useful tools in sampling design. First of all, when stratified samples are considered, one needs to deal with three main issues: the sample size, the strata bounds determination and the ...
Maria Caterina Bramati
doaj +1 more source
Estimation of Sensitive Attributes Using a Stratified Kuk Randomization Device
Revista Colombiana de Estadística, 2017 This paper suggests a stratified Kuk model to estimate the proportion of sensitive attributes of a population composed by a number of strata; this is undertaken by applying stratified sampling to the adjusted Kuk model.
LEE GI-SUNG +3 more
doaj +1 more source
Calibration-Based Mean Estimators under Stratified Median Ranked Set Sampling
Mathematics, 2023 Using auxiliary information, the calibration approach modifies the original design weights to enhance the mean estimates. This paper initially proposes two families of estimators based on an adaptation of the estimators presented by recent researchers ...
Usman Shahzad +4 more
doaj +1 more source
Functional quantization-based stratified sampling methods [PDF]
, 2010 In this article, we propose several quantization-based stratified sampling methods to reduce the variance of a Monte Carlo simulation. Theoretical aspects of stratification lead to a strong link between optimal quadratic quantization and the variance ...
Corlay, Sylvain, Pagès, Gilles
core +2 more sources
Approximating the Shapley Value Using Stratified Empirical Bernstein Sampling
International Joint Conference on Artificial Intelligence, 2021 The Shapley value is a well recognised method for dividing the value of joint effort in cooperative games. However, computing the Shapley value is known to be computationally hard, so stratified sample-based estimation is sometimes used.
M. Burgess, Archie C. Chapman
semanticscholar +1 more source
Memory Type Ratio and Product Estimators in Stratified Sampling
Journal of Reliability and Statistical Studies, 2020 The exponential weighted moving average (EWMA) statistic is utilized the past information along with the present to enhance the efficiency of the estimators of the population parameters.
Irfan Aslam +3 more
semanticscholar +1 more source
Exponential ratio and product type estimators of the mean in stratified two-phase sampling
AIMS Mathematics, 2021 : In this study, we propose exponential ratio estimators in the stratified two-phase sampling utilizing an auxiliary attribute. The expressions for the mean squared error of these exponential-type estimators under two different cases are derived and ...
T. Zaman, Cem Kadılar
semanticscholar +1 more source
Stratified Feature Sampling for Semi-Supervised Ensemble Clustering
IEEE Access, 2019 Ensemble Clustering (EC), which seeks to generate a consensus clustering by integrating multiple base clusterings, has attracted increasing attentions.
Jialin Tian, Yazhou Ren, Xiang Cheng
doaj +1 more source
Resolving the Raven Paradox: Simple Random Sampling, Stratified Random Sampling, and Inference to the Best Explanation [PDF]
, 2021 Simple random sampling resolutions of the raven paradox relevantly diverge from scientific practice. We develop a stratified random sampling model, yielding a better fit and apparently rehabilitating simple random sampling as a legitimate idealization.
Ward, Barry
core +1 more source