Respondent driven sampling: determinants of recruitment and a method to improve point estimation. by Nicky McCreesh, Andrew Copas, Janet Seeley, Lisa G Johnston, Pam Sonnenberg, Richard J Hayes, Simon D W Frost, Richard G White

“…RDS may generate biased estimates if coupons are distributed non-randomly or if potential recruits present for interview non-randomly. …”
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Some Improved Classes of Estimators in Stratified Sampling Using Bivariate Auxiliary Information by Shashi Bhushan, Anoop Kumar, Ronald Onyango, Saurabh Singh

“…This manuscript considers some improved combined and separate classes of estimators of population mean using bivariate auxiliary information under stratified simple random sampling. The expressions of bias and mean square error of the proposed classes of estimators are determined to the first order of approximation. …”
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A monetary model of exchange rate beats the random walk forecast even at a short horizon: Evidence from the Serbian hyperinflation at daily frequency by Petrović Pavle, Mladenović Zorica

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TA-RRT*: Adaptive Sampling-Based Path Planning Using Terrain Analysis by Taegeun Oh, Yun-Jae Won, Sungjin Lee

“…This paper proposes a novel algorithm, Terrain Analysis–Rapidly exploring Random Tree* (TA-RRT*), which improves the performance of path planning using adaptive sampling and step size based on terrain analysis. …”
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Evaluation of landslide susceptibility based on SMOTE-Tomek sampling and machine learning algorithm. by Ming-Zhou Lv, Kun-Lun Li, Jia-Zeng Cai, Jun Mao, Jia-Jun Gao, Hui Xu

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Estimation of population mean using ranked set sampling in the presence of measurement errors by Ahmadini A.A.H., Singh R., Raghav Y.S.

“…Ranked set sampling is widely acknowledged for its superior efficiency compared with simple random sampling. …”
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Coverage Optimization Algorithm Based on Sampling for 3D Underwater Sensor Networks by Du Xiaoyu, Sun Lijuan, Liu Linfeng

“…The proposed coverage optimization algorithm is inspired by the simple random sampling in probability theory. The main objective of this study is to lessen computation complexity by dimension reduction, which is composed of two detailed steps. …”
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Broadband Microwave Spectrum Sensing Based on Photonic RF Channelization and Compressive Sampling by Bo Yang, Hao Chi, Shuna Yang, Zizheng Cao, Jun Ou, Yanrong Zhai

“…A novel approach to realize broadband microwave spectrum sensing based on photonic RF channelization and compressive sampling (CS) is proposed. The photonic RF channelization system is used to slice the input broadband signal into multiple sub-channel signals with narrow bandwidth in parallel and thus the rate of pseudo-random binary sequence (PRBS) and the bandwidth of the MZM for CS can be largely decreased. …”
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A facial structure sampling contrastive learning method for sketch facial synthesis by Kangning Du, Jiyu Zhang, Lin Cao, Yanan Guo, Wenwen Sun

“…However, when applying traditional contrastive learning to sketch face synthesis, the random sampling strategy and the imbalance between positive and negative samples result in poor performance of synthesized sketch images regarding local details. …”
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Different Estimation Methods Using Ranked Set Sampling for the Ramos–Louzada Distribution by Diaa S. Metwally, Amal S. Hassan, Mohammed Elgarhy, Ehab M. Almetwally, Abdoulie Faal, Ahmed M. Gemeay

“…Statistical approaches based on RSS frequently produce noticeably better results when compared with similar techniques based on simple random sampling (SRS). A wonderful option for modeling positively skewed, overdispersed data with a leptokurtic shape is the one‐parameter Ramos–Louzada distribution (RLD). …”
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Impact of sampling strategy on inference of community assembly processes in phylogenetic island biogeography by Ornela N. Dehayem, Ryan F. A. Brewer, Luis Valente, Frederic Lens, Rampal S. Etienne

“…We compare three different community‐level sampling strategies for islands: (1) prioritizing species‐rich island lineages; (2) prioritizing species‐poor island lineages; and (3) random selection of island lineages. …”
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Uncertainty Quantification and Assimilation Method Based on Evaluated Nuclear Data Sampling Method by HUANG Yihan, ZU Tiejun, LIU Zhengming, CAO Liangzhi, WU Hongchun

“…The evaluated nuclear data sampling code, NECP-SOUL, was utilized to produce random nuclear data samples of ENDF-6 format, and then the nuclear data processing code, NECP-Atlas, was used to generate the application libraries based on each ENDF-6 sample. …”

Different Estimation Methods for the Unit Xgamma Distribution Using Ranked Set Sampling by Diaa S. Metwally, Amal S. Hassan, Ehab M. Almetwally, Laxmi Prasad Sapkota, Ahmed M. Gemeay, Mohammed Elgarhy

“…Unlike simple random sampling (SRS), RSS can reduce costs. The unit Xgamma distribution (UXGD), defined over the interval (0,1), effectively captures the characteristics of negatively skewed datasets. …”
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Enhancing Bee Mite Detection with YOLO: The Role of Data Augmentation and Stratified Sampling by Hong-Gu Lee, Jeong-Yong Shin, Su-Bae Kim, Min-Jee Kim, Moon S. Kim, Hoyoung Lee, Changyeun Mo

“…Four datasets were constructed using different augmentation and distribution strategies, including random and stratified sampling. The datasets were partitioned into training, testing, and validation sets in a 7:2:1 ratio, respectively. …”
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An improved height sampling approach used for global urban building height mapping by Tingting He, Yihua Hu, Fashuai Li, Yuwei Chen, Maoxin Zhang, Qiming Zheng, Baiyu Dong, He Ren

“…Both datasets are open-access, providing a more comprehensive and representative sample base for model construction. To address temporal discrepancies between these two data, continuous change detection and classification (CCDC) algorithm was employed to remove invalid height samples. …”
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A Sampling Load Frequency Control Scheme for Power Systems with Time Delays by R. Sriraman, Jihad A. Younis, C. P. Lim, P. Hammachukiattikul, G. Rajchakit, N. Boonsatit

“…In this study, we investigate the effectiveness of a robust sampled-data H∞ load frequency control (LFC) scheme for power systems with randomly occurring time-varying delays. …”
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Line Sampling with Probability Proportional to The Geometrical Average Area Per Tree in The Stand by Sylvio Péllico Netto, Alexandre Behling, Ataides Marinheski Filho, Ângelo Augusto Ebling, Claiton Nardini

“…Since the mean geometrical average area per tree varies among randomly distributed sampling units, the method is classified as probability proportional to size sampling and referred to as probability proportional to the average geometric area of occupation. …”
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A decade of sampling reveals spittlebug population dynamics in different cultivation system by Alexander Machado Auad, Tiago Teixeira Resende, Charles Martins Oliveira

“…In each system (signalgrass monoculture or silvipastoral), the capture of adult spittlebugs was performed using entomological sweep nets, randomly throughout the area. We sampled 23,040 spittlebugs specimens over a period of 10 years. …”
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Class of Calibrated Estimators of Population Proportion Under Diagonal Systematic Sampling Scheme by Ahmed Audu, Maggie Aphane, Jabir Ahmad, Ran Vijay Kumar Singh

“…Estimators of population characteristics which only exploit information of the study characters tend to be prone to outliers or extreme values that may characterize sampling information due to randomness in selection thereby making them to be less efficient and robust. …”
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Experience sampling method studies in physical activity research: the relevance of causal reasoning by Louise Poppe, Annick L. De Paepe, Benedicte Deforche, Delfien Van Dyck, Tom Loeys, Jelle Van Cauwenberg

“…Abstract Background The experience sampling method (ESM), also known as ecological momentary assessment, is gaining popularity in physical activity research. …”
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