Modifying Covariance Localization to Mitigate Sampling Errors from the Ensemble Data Assimilation by Mingheng Chang, Hongchao Zuo, Jikai Duan

“…To verify if the proposed method can effectively mitigate the sampling errors, numerical experiments are conducted on the Lorenz-96 model and large-scale model (SPEEDY model). …”
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Trends of Sampling Error in Surface Air Temperature on the Tibetan Plateau during Recent Decades by Wei Hua, Tianci Huang, Zouxin Lin, Lihua Zhu, Xin Wang, Guangzhou Fan

“…The sampling error variances also exhibited strong monthly variations with maximum errors in winter and minimum values in summer. …”
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Sampling error‐based model‐free predictive current control of open‐end winding induction motor with simplified vector selection by Mahdi S. Mousavi, S. Alireza Davari, Freddy Flores‐Bahamonde, Cristian Garcia, Jose Rodriguez

“…Abstract A sampling error‐based finite‐set predictive current control (FS‐PCC) is proposed in this article for the open‐end winding induction motor (OEWIM) drive. …”
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Arrayable TDC with Voltage-Controlled Ring Oscillator for dToF Image Sensors by Liying Chen, Bangtian Li, Chuantong Cheng

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Importance Sampling for Cost-Optimized Estimation of Burn Probability Maps in Wildfire Monte Carlo Simulations by Valentin Waeselynck, David Saah

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Discrepancy in efficiency scores due to sampling error in data envelopment analysis methodology: evidence from the banking sector [version 2; peer review: 1 approved, 2 approved with reservations] by Sachin R Chandra, Raksha Jain, Shivaprasad S P, Geetha E, Kishore L

Subjects: “…Sampling Error; Performance Evaluation; Efficiency; Data Envelopment Analysis; Non-parametric Tests; Banking industry…”
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mpmsim: An R package for simulating matrix population models by Owen R. Jones

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Minimum uncertainty as Bayesian network model selection principle by Grigoriy Gogoshin, Andrei S. Rodin

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Quantifying observer variance in expansive monitoring program indicator data with heterogeneous-variance mixed-effects models by Leah T. Dreesmann, Timothy R. Johnson, Jason W. Karl

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A Comparison of Methods for Determining the Number of Factors to Retain in Exploratory Factor Analysis for Categorical Indicator Variables by Holmes Finch

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Sampling frequency and eye-tracking measures: how speed affects durations, latencies, and more by Richard Andersson, Marcus Nyström, Kenneth Holmqvist

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Efficient estimation method of population mean with non-response and observational error under ORRT models by Sunil Kumar, Chanda Rani, Housila P. Singh, J. P. S. Joorel

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Formation of Instantaneous Differential and Restraining Cur-rents for Differential Protection of Busbar Assemblies by V. S. Kachenya, M. S. Loman

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Distinguishing Biological Trends from Adaptation by Lucas John Mix

“…A minimal trend is a signal of historical change after correcting for sampling error; a directed trend is a model dependent measure of confidence that selection has occurred (correcting for both sampling error and drift). …”
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Calculating Percentiles of <i>T</i>-Distribution Using Gaussian Integration Method by Tzu-Li Tien

“…Statistical inference is used to estimate population parameters based on sample information and to quantify the sampling error based on the probability narrative. The population mean is inferred by its sample mean, but when using sample variance, the population variance is needed. …”
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Estimating transmission heterogeneity and case ascertainment from variations in case counts in surveillance data by Dr Judith Bouman, Dr Jantien Backer, Dr Christian Althaus

“…The observation noise results from variations in testing uptake and the sampling error. Our objective was to better understand how the process and observation noise shape the observed variation in infectious disease case counts in surveillance data. …”
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THE USE OF RANKING SAMPLING METHOD WITHIN MARKETING RESEARCH by CODRUŢA DURA, IMOLA DRIGĂ

“…Using ranking sampling within marketing research requires the determination of some relevant statistical indicators - average, dispersion, sampling error etc. To that end, the paper contains a case study which illustrates the actual approach used in order to apply the ranking sample method within a marketing research made by a company which provides Internet connection services, on a particular category of customers – small and medium enterprises.…”
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Loneliness and Suicidal Behavior: A Meta-Analysis by Dedara Hosiana Kandou, Firmanto Adi Nurcahyo

“…The results of the meta-analysis based on sampling error resulted in a correlation of 0.45, and a correlation of 0.51 was found when accounting for measurement error. …”
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Ultrasonic echo method in detection of breast calcifications. Transient analysis by Leszek FILIPCZYŃSKI, Tamara KUJAWSKA, Grażyna ŁYPACEWICZ

“…The radii of calcifications which can be found at the frequency of 5 MHz are equal to 0.6 mm or 1.6 mm depending on the maximum sampling error assumed for a single measurement of the tissue interference background.…”
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Accurate detection of shared genetic architecture from GWAS summary statistics in the small-sample context. by Thomas W Willis, Chris Wallace

“…The genetic correlation is a well-known means of quantifying and testing for genetic similarity between traits, but its estimates are subject to comparatively large sampling error. This makes it unsuitable for use in a small-sample context. …”
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