Confidence interval estimation by bootstrap method for uncertainty quantification using random sampling method
نویسندگان
چکیده
منابع مشابه
Confidence limits made easy: interval estimation using a substitution method.
The use of confidence intervals has become standard in the presentation of statistical results in medical journals. Calculation of confidence limits can be straightforward using the normal approximation with an estimate of the standard error, and in particular cases exact solutions can be obtained from published tables. However, for a number of commonly used measures in epidemiology and clinica...
متن کاملUncertainty Quantification in Rothermel’s Model Using an Efficient Sampling Method
111 Abstract—The purpose of the present work is to quantify parametric uncertainty in Rothermel’s wildland fire spread model (implemented in software such as BehavePlus3 and FARSITE), which is undoubtedly among the most widely used fire spread models in the United States. This model consists of a nonlinear system of equations that relates environmental variables (input parameter groups) such as...
متن کاملA New Confidence Interval Method for the Estimation of Quantiles
Confidence intervals for the median of estimators or other quantiles were proposed as a substitute for usual confidence intervals in terminating and steady-state simulation. They are easy to obtain, the variance of the estimator is not used, they are well suited for correlated simulation output data, apply to functions of estimators, and in simulation they seem to be particularly accurate. For ...
متن کاملConfidence intervals in repeatability and reproducibility using the Bootstrap method
The repeatability and reproducibility (R&R) study—also called a gauge capability study—has been employed as part of the statistical process control program in many organizations. The objective of the study is to determine whether a measurement procedure or instrument is adequate for monitoring the performance of a process. The classical control chart method can be easily performed and ...
متن کاملOn Using Bootstrap Approach for Uncertainty Estimation
Computer-Intensive methods for estimation assessment provide valuable information concerning the adequacy of applied probabilistic models. The bootstrap method is an extensive computational approach to uncertainty estimation based on resampling and statistical estimation. It is a powerful tool, especially when only a small data set is used to predict the behaviour of systems or processes. This ...
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: Journal of Nuclear Science and Technology
سال: 2015
ISSN: 0022-3131,1881-1248
DOI: 10.1080/00223131.2015.1034216