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In this paper, we discuss resampling methods for finding thresholds in single subject fMRI analysis.
Besides a separate signal to noise ratio for peaks not found by the initial peak finding, thresholds for analytes to be kept for statistical evaluation (minimum number of samples or minimum percent of samples in a class that contain the analyte) were defined.
Finding thresholds in the amount of food that should be provided to satisfy the needs of target individuals could be valuable in species where intraspecific interference seems more likely [22], [34].
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These works were mainly concerned with finding threshold conditions for the disease to become endemic and describing the stability of steady-state solutions, often under the assumption that the population has reached its steady state and the diseases do not affect the death rate of the population.
To keep testing herself and finding new thresholds of endurance and pain, Lobet began competing in long-distance runs.
The use of advanced test statistics and/or the complex dependence structure of fMRI noise may preclude parametric statistical methods for finding appropriate thresholds.
However, the major problems with the evaluation of different operation modes of the GPS receiver include finding reasonable thresholds to select the number of GPS baseband receiver tracking channels that can balance the trade-off between conflicted GPS design parameters and determining the optimum GPS baseband receiver tracking channels in terms of power consumption and localisation accuracy.
However, finding optimal thresholds analytically remains a challenging problem for future work.
The policy goal is sometimes framed as finding minimum thresholds for avoiding harm.
Moreover, the use of statistics like throughput of probing frames or FER is affected by the difficulty of finding proper thresholds for optimal rate selection.
Continuous data were then converted to categorical data by finding the thresholds that gave the lowest AIC for the fitted model.
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