Results 21 to 30 of about 2,912,658 (259)

Small Sample Size Solutions [PDF]

, 2020
Researchers often have difficulties collecting enough data to test their hypotheses, either because target groups are small or hard to access, or because data collection entails prohibitive costs. Such obstacles may result in data sets that are too small for the complexity of the statistical model needed to answer the research question.
van de Schoot, R., Miočević, M.
openaire   +4 more sources

Samples of concrete small sizes

EasyChair Preprints, 2018
In the article the analysis of the dimensions of the samples used in the test concrete. Identified an opportunity to reduce of the dimensions of the samples. The tests at the same time the standard and small (25х25х100 mm) of the concrete samples. Small samples were obtained by cutting the standard samples.
Andrey Varlamov, Sergei Tverskoi, Vadim Gavrilov   +2 more
openaire   +2 more sources

A Convolutional Neural Network for Steady-State Flow Approximation Trained on a Small Sample Size

Atmosphere, 2023
The wind microclimate plays an important role in architectural design, and computational fluid dynamics is a method commonly used for analyzing the issue.
Guodong Zhong, Xuesong Xu, Jintao Feng, Lei Yuan   +3 more
doaj   +1 more source

Estimating survival rates in ecological studies with small unbalanced sample sizes: an alternative Bayesian point estimator [PDF]

Computational Ecology and Software, 2011
Increasingly, the survival rates in experimental ecology are presented using odds ratios or log response ratios, but the use of ratio metrics has a problem when all the individuals have either died or survived in only one replicate.
Christian Damgaard, Adeline Fayolle
doaj  

What we can see from very small size sample of metagenomic sequences

BMC Bioinformatics, 2018
Background Since the analysis of a large number of metagenomic sequences costs heavy computing resources and takes long time, we examined a selected small part of metagenomic sequences as “sample”s of the entire full sequences, both for a mock community ...
Jaesik Kwak, Joonhong Park
doaj   +1 more source

Confidence Regions for the Multinomial Parameter With Small Sample Size [PDF]

Journal of the American Statistical Association, 2009
Accepted for publication in Journal of the American Statistical Association (JASA)
Chafai, Djalil, Concordet, Didier
openaire   +6 more sources

Speeding Up Non-Parametric Bootstrap Computations for Statistics Based on Sample Moments in Small/Moderate Sample Size Applications. [PDF]

PLoS ONE, 2015
In this paper we propose a vectorized implementation of the non-parametric bootstrap for statistics based on sample moments. Basically, we adopt the multinomial sampling formulation of the non-parametric bootstrap, and compute bootstrap replications of ...
Elias Chaibub Neto
doaj   +1 more source

An Improved Sample-Aggregation Method for Weibull Estimation of Bushing Maximum Friction Torque Under Small-Sample Conditions

Aerospace
This study addresses the instability of statistical modeling for small-sample maximum friction torque data under multiple temperature conditions. Within the Weibull distribution framework, a sample-aggregation method is proposed, and a unified modeling ...
Shenglei Liu, Liqiang Zhang, Liyang Xie
doaj   +1 more source

Recalibrating single-study effect sizes using hierarchical Bayesian models

Frontiers in Neuroimaging, 2023
IntroductionThere are growing concerns about commonly inflated effect sizes in small neuroimaging studies, yet no study has addressed recalibrating effect size estimates for small samples. To tackle this issue, we propose a hierarchical Bayesian model to
Zhipeng Cao, Zhipeng Cao, Matthew McCabe, Peter Callas, Renata B. Cupertino, Jonatan Ottino-González, Alistair Murphy, Devarshi Pancholi, Nathan Schwab, Orr Catherine, Kent Hutchison, Janna Cousijn, Alain Dagher, John J. Foxe, Anna E. Goudriaan, Robert Hester, Chiang-Shan R. Li, Wesley K. Thompson, Angelica M. Morales, Edythe D. London, Valentina Lorenzetti, Maartje Luijten, Rocio Martin-Santos, Reza Momenan, Martin P. Paulus, Martin P. Paulus, Lianne Schmaal, Lianne Schmaal, Rajita Sinha, Nadia Solowij, Dan J. Stein, Elliot A. Stein, Anne Uhlmann, Ruth J. van Holst, Dick J. Veltman, Reinout W. Wiers, Murat Yücel, Sheng Zhang, Patricia Conrod, Scott Mackey, Hugh Garavan, The ENIGMA Addiction Working Group   +41 more
doaj   +1 more source

Prediction method of pipeline corrosion depth based on the correlation and Bayesian inference

You-qi chuyun, 2021
The number of samples for detecting corrosion characteristic value is difficult to reach a large enough size in practical engineering, which leads to the pipeline corrosion evaluation results tend to be aggressive.
Kaikai CHENG, Jitao YAO, Zhengjie CHENG, Jianbo DAI, Meimei SONG   +4 more
doaj   +1 more source