Grill, "Systematic and statistical errors in correlation estimators obtained from var- ious digital correlators," Rev. Sci. Instrum. 70, 4487- 4496 ͑1999͒.Systematic and statistical errors in correlation estimators obtained from various digital correlators. Kojro, Z.,Riede, A.,Schubert, M.,...
Spurred by the observation that forcedistance profiles measured with the interferometric surface forces apparatus are often presented without error bars, we have considered the most important sources of statistical and systematic errors. We have also performed a calculation that yields quantitative error ba...
Mapping systematic errors in helium abundance determinations using Markov Chain Monte Carlo Monte Carlo techniques have been used to evaluate the statistical and systematic uncertainties in the helium abundances derived from extragalactic H II reg... E Aver,KA Olive,ED Skillman - 《Journal of Cosmology...
Poisson regression models with errors-in-variables: implication and treatment Overdispersion has been a common phenomenon in count data and usually treated with the negative binomial model. This paper shows that measurement errors in... JQ Guo,L Tong - 《Journal of Statistical Planning & Inference》...
Receiving touch is of critical importance, as many studies have shown that touch promotes mental and physical well-being. We conducted a pre-registered (PROSPERO: CRD42022304281) systematic review and multilevel meta-analysis encompassing 137 studies in
the past decade; and (2) quantify systematic differences in effect estimates between observational studies and RCTs in meta-analyses using two statistical methods: ROR, and discrepancies in statistical significance between the two study designs among meta-analyses combining observational studies and RCTs...
Large samples have less random error than small samples. That’s because the errors in different directions cancel each other out more efficiently when you have more data points. Collecting data from a large sample increases precision andstatistical power. ...
Many assessment and evaluation studies use statistical hypothesis tests, such as the independent samples t test or analysis of variance, to test the equali... DW Nordstokke,BD Zumbo,SL Cairns,... - 《Practical Assessment Research & Evaluation》 被引量: 74发表: 2011年 Measurement errors and ...
When they report the findings for the total risk test, the statistically significant factors are leverage with positive effects (at 5% level), negative effects for profitability (at 1% level), growth (at 10%), and safety (at 5%), and firm size loses statistical significance Park et al. (...
This paper reveals the impact of environmental, social, and governance (ESG) scores on systematic and downside risks in the Russian stock market. We analyze the influence of a broad set of ESG factors controlling for stock liquidity, financial indicators