Not exact matches
Most importantly, we also quantify and characterize the
distribution and rate
of occurrence
of planets down to Earth size with no prior assumptions on their frequency, by subtracting from the population
of actual Kepler candidates our simulated population
of astrophysical
false positives.
By comparing their
distribution with that
of the Kepler Objects
of Interest detected during the first six quarters
of operation
of the spacecraft, we infer the
false positive rate
of Kepler and study its dependence on spectral type, candidate planet size, and orbital period.
For models, such as SMR, where the
distribution of the model parameters is unknown, permutation test and stability selection are typically used to control for
false positives.
For the LTQ - Orbitrap Velos data, the
distribution of mass deviation (from the theoretical masses) was first determined as having a standard deviation (σ)
of 2.05 part per million (ppm), and a mass error
of smaller than 3σ was used in combination with Xcorr and ΔCn to determine the filtering criteria that resulted in < 1 %
false positive peptide identifications.
Figures 1a and 1b focus on misclassification at the bottom
of the teacher performance
distribution, but the
false positive /
false negative tradeoff arises with any classification system.