... of the classification over new samples, we use the jackknife sorting method. It consists of (1) omitting a test sample from the training data set used to calculate the statistical classification model, (2) classifying the test sample, and (3) repeating the procedure for all samples. The method provides a good estimate...

...-estimator. Uncertainty intervals are calculated for these estimators by applying the jackknife statistical method. The intervals for the mean estimator appear to be true statistical confidence intervals, but the estimates can be biased by a directional noise field in low signal-to-noise circumstances...

... methods, and (c) locations produced using our migration-stacking method. Refer to Figure  1 for additional details. The jackknife test has been applied in essentially the same way to both the location techniques, providing a direct comparison of the sensitivity of the techniques with variations...

.... Subsequently, two coherence thresholds and a series of robust weights are implemented to obtain the most reliable MT response estimates. Finally, errors are estimated using a nonparametric jackknife algorithm. We applied this algorithm to AMT data collected in northern Canada. These data were processed...

... problem is solved using MATLAB’s convex optimization routines for systems of linear matrix inequalities. An error analysis using the jackknife and bootstrap methods is included. An example M w 4.7 earthquake from the San Jacinto fault is used to demonstrate the method. © Seismological Society of America...

... estimates of a given wave parameter (e.g. Lilly and Park, 1995 ; Bear and Pavlis, 1997 , 1999 ; Bear et al. , 1999 ). Jackknife statistics are useful for determining the center and variance of a population in a one-dimensional sense. As such, jackknife statistics are well suited to estimate wave...

... than the landslides investigated in previous related studies. We conducted moment tensor inversions using a regional station network, whereas previous studies frequently used teleseismic records. We then performed jackknife tests to investigate the stability of the inversions and compare our results...

... jackknifing approach following Bishop and McBratney (2001) . After the regression model variables were determined using backward elimination, the model was applied to a randomly selected 85% subsample of the dataset. This subsample was used to estimate one realization of the appropriate regression...

... side and from the Bocas del Toro region westward to central Panama and the San Blas archipelago on the Caribbean side. These specimens were separated from the substrate by sieving with a 2 mm mesh screen and were placed in bags for subsequent washing, drying, and sorting into major taxa...

... having 30 Hz dominant frequency (usually the observed peak frequency of microseismic events at the surface; see Eisner et al., 2013 ) and we sort the channels from the minimum to the maximum rms value of the noise (Figure  1a ). In this numerical experiment, we varied the noise σ N...

... jackknifed identification accuracy ratios of between 87% and 100%. These results demonstrate that automated image-based identification systems have the potential to improve paleoenvironmental inferences via the provision of accurate, consistent and rapid CLAMP leaf-character identifications. More generally...

.../semilandmark configuration ( Fig. 1 ) used here combines the greatest coverage of the total anatomy of the bivalve with high recovery of group assignments (as tested by using jackknife reassignment tests in canonical variates analysis [CVA] [Supplementary Tables 1, 2]). Higher recovery of group assignments can...

.... Dalrymple G. B. (1980) . Late Cenozoic volcanism, geochronology and structure of the Coso Range, Inyo County, California , J. Geophys. Res. 85 , 2381 - 2404 . Efron B. (1982) . The Jackknife...

...Figure A4. Distribution of M s bias values for each station derived from a jackknife calculation, presented as a boxplot and whiskers. Red dots depict values for the entire data set. Stations are sorted alphabetically. (a) Stations AAK to ILAR, (b) stations INK to PETK, and (c) stations...

... 1989 ; Foote 1997 ; Erwin 2007 ; Kemp 2007 ; Brusatte et al. 2014 ). There possibly exists some sort of threshold below which the canalization of a body plan is always insufficient for long-term fitness within a given adaptive landscape (Niklas 1994 ), but whether stem groups consistently meet...

... Canada 2001 Measurements used in the morphometric analyses are of two types: ( i ) distances between homologous, threedimensionally defined landmarks; and ( ii ) distances between extremal points. Extremal points are the traditional sort used in morphometrics and include such variables as diameters...

... for unlimited testing of location parameters. It supports a jackknifing‐like approach that displays potential outliers and shows how they may bias hypocentral solutions. HypoLine provides robust solutions, especially when data are sparse, onsets weak, and the potential for ambiguities high. HypoLine software...

... reported in Table 1 and Supplementary material were calculated from 10 000 repetitions. The sample bias of the binned data was assessed further by jackknife estimates ( Tukey 1958 ) that were in all cases in agreement with bootstrapped means (jackknife bias = 0). Jackknife procedure is similar...