Sentence examples for based on repeated sampling from inspiring English sources

Our study presents the first formal monitoring of a planned beaver-assisted restoration, focussing on changes in vegetation over 12 years within an agriculturally-degraded fen following beaver release, based on repeated sampling of fixed plots.

13 The bootstrap method is based on repeated sampling from the observed data to calculate nonparametric CIs (we used 1,000 replicates).

Figure 7C illustrates the trajectory of Wnt-1 (in pg/mL) in Charcot patients throughout the observation period of 2 years, based on repeated sampling over time and relative to diabetes controls and healthy subjects.

Our analysis of larval and juvenile development under natural conditions is based on repeated sampling in 12 ponds in Skåne (Southern Sweden) at four different stages: eggs, tadpoles, metamorphs and one-year old juveniles.

Figure 6C illustrates the Trajectory Of Plasma Dkk-1 (in pg/mL) in Charcot patients throughout the observation period of 2 years, based on repeated sampling over time and relative to diabetes controls and healthy subjects.

Based on the repeated samples in this large maize collection (Romay et al. 2013), the error rate per base was estimated at 0.0018 based on repeated samples, and the average SNP call rate (per sample) was 42%, with values ranging from 2%to75%5%.

Simulation studies compare model predictions based on repeated samples drawn from a data set that represents the entire population of interest and for which true values are known because they were determined by the investigator when the data set was created in order to represent a scenario of interest.

This study examined changes in never-harvested mixed conifer (MCF), spruce-fir (SFF), and quaking aspen forests (QAF) in Grand Canyon National Park (GCNP), Arizona, USA based on repeat sampling of two sets of vegetation study plots, one originally sampled in 1935 and the other in 1984.

Further studies based on repeat sampling from patients with elevated plasma TDP-43 levels will address this matter.

Uncertainty can be accounted for by using Monte Carlo (MC) techniques that generate samples from unknown output probability distributions based on repeated random sampling from independent known input distributions, particularly when a closed form of the output distribution is impossible or difficult to obtain, as in complex nonlinear or multidimensional problems (Kumamoto and Henley 1996).

Objectives: We estimated apparent elimination rates using a simple first-order one-compartment model for selected dioxin congeners based on repeated blood sampling in a previously studied population.