Results 251 to 260 of about 10,169,362 (317)
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CSS: Handling imbalanced data by improved clustering with stratified sampling
Concurrency and Computation, 2020The traditional support vector machine technique (SVM) has drawbacks in dealing with imbalanced data. To address this issue, in this paper we propose an algorithm of improved clustering with stratified sampling technique (CSS) to improve the ...
Lu Cao, Hong-Mei Shen
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Use of coefficient of variation in calibration estimation of population mean in stratified sampling
Communications in Statistics - Theory and Methods, 2019Calibration approach is becoming more important in survey sampling. Calibration estimation helps in improving the estimates of population parameters by making use of auxiliary information.
Neha Garg, Menakshi Pachori
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Reliability analysis with stratified importance sampling based on adaptive Kriging
Reliability Engineering & System Safety, 2020In reliability engineering, estimating the failure probability of a system is one of the most challenging tasks. Since many applied engineering tasks are computationally expensive, it is challenging to estimate failure probabilities using acceptable ...
Sinan Xiao, S. Oladyshkin, W. Nowak
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Communications in Statistics - Theory and Methods, 2020
This article proposes new regression-type estimators by considering Tukey-M, Hampel M, Huber MM, LTS, LMS and LAD robust methods and MCD and MVE robust covariance matrices in stratified sampling.
T. Zaman, H. Bulut
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This article proposes new regression-type estimators by considering Tukey-M, Hampel M, Huber MM, LTS, LMS and LAD robust methods and MCD and MVE robust covariance matrices in stratified sampling.
T. Zaman, H. Bulut
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Stratified and Post-Stratified Sampling
2003Stratified and post-stratified sampling schemes are useful survey techniques commonly used by government agencies, private consultants, and applied statisticians. Let us differentiate between stratified and post-stratified sampling.
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Transportation Research Part D: Transport and Environment, 2019
Environmental as well as financial issues forces to develop clean, efficient, and sustainable vehicles which constitutes an integral part of our daily life for urban transportation.
Habib Kaymaz, H. Korkmaz, Hasan Erdal
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Environmental as well as financial issues forces to develop clean, efficient, and sustainable vehicles which constitutes an integral part of our daily life for urban transportation.
Habib Kaymaz, H. Korkmaz, Hasan Erdal
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An efficient exponential estimator of the mean under stratified random sampling
Mathematical Population Studies, 2020Stratification of population is a probability sampling design used to increase the precision of estimation. An efficient exponential ratio estimator allows estimating the population mean in stratified random sampling using an auxiliary variable.
T. Zaman
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Adaptive stratified sampling for structural reliability analysis
Structural Safety, 2023Chenxiao Song, Reiichiro Kawai
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International Journal of Control, Automation and Systems, 2021
Liyang Han, Thomas Morstyn, M. Mcculloch
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Liyang Han, Thomas Morstyn, M. Mcculloch
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Stratified Sampling of Projected Spherical Caps
Computer graphics forum (Print), 2018We present a method for uniformly sampling points inside the projection of a spherical cap onto a plane through the sphere's center. To achieve this, we devise two novel area‐preserving mappings from the unit square to this projection, which is often an ...
C. Ureña, Iliyan Georgiev
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