Reliable estimates of benthic metrics are fundamental for monitoring coral-reef ecosystems and informing management decisions. Here, we present an analytical approach to optimize the sampling design ...

To present a resampling approach to obtain confidence intervals (CIs) and the empirical distributions for the studentized regression residuals percentiles when used as cutoff points for overweight and ...

Abstract: We address the problem of estimating the uncertainty of pixel based image registration algorithms, given just the two images to be registered, for cases when no ground truth data is ...

A bootstrap method is proposed for assessing statistical histograms of pharmacokinetic parameters (AUC, MRT, CL and V(ss)) from one-point sampling data in animal experiments. A computer program, ...

Objectives Accurate and validated methods to estimate regional PET image noises are needed for the optimization of image processing in clinical practice. The aim of the study was to experimentally ...

Abstract: A new kind of stacking scheme, based on the hypothesis testing of signal significance and coherence, is proposed. The significance of stacked data is evaluated by running two kinds of ...

Objectives It is often desirable to investigate the relationship between scan duration (SD) or administered activity (AA) and image quality in molecular imaging, e.g., in order to reduce patient dose ...

Bootstrapping is used to estimate the distribution of a statistic by generating multiple samples from the original data, usually with replacements. This program aims ...