<p><b>1, 3, and 5.</b> In (a) the mean values of across 46 ADDs from <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0054095#pone-0054095-g004" target="_blank">figure 4</a> (labeled “Data”) are compared to the values obtained from 100 jackknife randomizations with varying numbers of points removed (JK1, JK2, and JK3). Error bars indicate SE for the original data, while for JK they are the estimates of such error. (b) Mean obtained from the “successful” fits among all RI replicates, and across all data sets, with SE reported across 46 data sets. (c) Percentage of ADDs, among 46, in which the IUBD failed to be declared significantly lower. Each bar is colored to indicate how the ADDs are divided among different data s...
This report compares the bootstrapping to jacknifing statistical procedures in terms in bias, confid...
<p>Left Panel: Proportion correct averaged across individuals for each degree difference between ref...
This paper presents a method for constructing confidence intervals using the jackknife. Asymptotic e...
<p>The jackknife estimation of variance for the median, using the original measurement scale, has be...
This study is a continuing investigation into the performance of confidence intervals for the differ...
Supplemental Dataset 12: Jackknifing results for significant correlations between DEV and traits of ...
<p>A comparison of bootstrap variance and jacknife variance estimates of equally weighted sample med...
<p>Random 1: selecting randomly features subsets from original features, whose size is one-forth of ...
<p>*Values are significantly different from random prediction (One-Sample t-test, p < 0.01, One-Samp...
The assumption of normality is often not fulfilled, this causes the estimation of the resulting para...
<p>Jackknife tests (%) and the mean feature numbers of the SVM-based predictors for 30 samples.</p
Quenouille has developed a procedure, later termed the jackknife by Tukey, for reducing the bias of ...
“A-D”: Effect of Jackknife re-sampling on two data sets (ten replicates) that produced poor results ...
The accuracy of obtaining critical points for Miller\u27s Jackknife test for small samples by way of...
The jackknife, multicrossvalidation, and analytical formulae meth-ods are discussed and compared wit...
This report compares the bootstrapping to jacknifing statistical procedures in terms in bias, confid...
<p>Left Panel: Proportion correct averaged across individuals for each degree difference between ref...
This paper presents a method for constructing confidence intervals using the jackknife. Asymptotic e...
<p>The jackknife estimation of variance for the median, using the original measurement scale, has be...
This study is a continuing investigation into the performance of confidence intervals for the differ...
Supplemental Dataset 12: Jackknifing results for significant correlations between DEV and traits of ...
<p>A comparison of bootstrap variance and jacknife variance estimates of equally weighted sample med...
<p>Random 1: selecting randomly features subsets from original features, whose size is one-forth of ...
<p>*Values are significantly different from random prediction (One-Sample t-test, p < 0.01, One-Samp...
The assumption of normality is often not fulfilled, this causes the estimation of the resulting para...
<p>Jackknife tests (%) and the mean feature numbers of the SVM-based predictors for 30 samples.</p
Quenouille has developed a procedure, later termed the jackknife by Tukey, for reducing the bias of ...
“A-D”: Effect of Jackknife re-sampling on two data sets (ten replicates) that produced poor results ...
The accuracy of obtaining critical points for Miller\u27s Jackknife test for small samples by way of...
The jackknife, multicrossvalidation, and analytical formulae meth-ods are discussed and compared wit...
This report compares the bootstrapping to jacknifing statistical procedures in terms in bias, confid...
<p>Left Panel: Proportion correct averaged across individuals for each degree difference between ref...
This paper presents a method for constructing confidence intervals using the jackknife. Asymptotic e...