منابع مشابه
Uncertainty and sampling error.
Medical research is conducted to help to reduce uncertainty. For example, randomised controlled trials aim to answer questions relating to treatment choices for a particular group of patients. Rarely, however, does a single study remove uncertainty. There are two reasons for this: sampling error and other (non-sampling) sources of uncertainty. The word “error” comes from a Latin root meaning “t...
متن کاملUncertainty beyond sampling error.
Statistical analysis of research results mainly uses confidence intervals and hypothesis tests to capture the uncertainty rising from our study being on a sample of participants drawn from a much larger population, in which our interest mainly lies. But beyond the issue of sampling variation there are other sources of uncertainty that may be even more important to consider. In measurement, a di...
متن کاملStatistical uncertainty and error propagation
This lecture is about some of the basics of uncertainty: the use of variances and covariances to express statistical uncertainty (“error bars”, error ellipses); we are concentrating on the uncertainties of geographic co-ordinates. This makes it necessary to talk about geodetic datums – alternative ways of fixing the starting point(s) used for fixing geodetic co-ordinates in a network solution. ...
متن کاملBiological Data Analysis: Error and Uncertainty
Uncertainty plays an important role in analyzing and minimizing the errors in a given experimental data set in order to increase the reliability and quality of the obtained data. In this paper, we study biological data which is subject to technical limitations and errors, rendering the gathered data likely to be uncertain. By using fundamental numerical analysis approach, we have targeted to st...
متن کاملPerformance Metrics, Error Modeling, and Uncertainty Quantification
A common set of statistical metrics has been used to summarize the performance ofmodels ormeasurements— the most widely used ones being bias, mean square error, and linear correlation coefficient. They assume linear, additive, Gaussian errors, and they are interdependent, incomplete, and incapable of directly quantifying uncertainty. The authors demonstrate that these metrics can be directly de...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Geographic information science & technology body of knowledge
سال: 2021
ISSN: ['2577-2848']
DOI: https://doi.org/10.22224/gistbok/2021.3.3