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Table 36: Mean of bootstrap sample correlation, asymptotic correlation and sample mean of asymptotic correlation of b and b

in Confidence Intervals and Accuracy Estimation for Heavytailed Generalised Pareto Distribution
by Nader Tajvidi 1996
"... In PAGE 24: ... Tables 33, 34 and 35 in the Appendix give the complete results of simulations for all combinations of and n. Table36 gives three di erent estimates of correlation between b and b . The rst column is the mean of the bootstrap sample correlations between b and b .... ..."
Cited by 3

TABLE III MEAN OF BOOTSTRAP REPLICATIONS AND 95% CONFIDENCE INTERVALS FOR EIGENVALUES OF R BASED ON DATASET2002.

in IEEE/ACM TRANSACTIONS ON NETWORKING 1 A Factor Analytic Approach to Inferring Congestion Sharing Based on Flow Level Measurements
by Dogu Arifler, Gustavo De Veciana, Senior Member, Brian L. Evans, Senior Member

TABLE IV MEAN OF BOOTSTRAP REPLICATIONS AND 95% CONFIDENCE INTERVALS FOR EIGENVALUES OF R BASED ON DATASET2004.

in IEEE/ACM TRANSACTIONS ON NETWORKING 1 A Factor Analytic Approach to Inferring Congestion Sharing Based on Flow Level Measurements
by Dogu Arifler, Gustavo De Veciana, Senior Member, Brian L. Evans, Senior Member

TABLE V MEAN OF BOOTSTRAP REPLICATIONS AND 95% CONFIDENCE INTERVALS FOR FACTOR LOADINGS BASED ON DATASET2002.

in IEEE/ACM TRANSACTIONS ON NETWORKING 1 A Factor Analytic Approach to Inferring Congestion Sharing Based on Flow Level Measurements
by Dogu Arifler, Gustavo De Veciana, Senior Member, Brian L. Evans, Senior Member

TABLE VI MEAN OF BOOTSTRAP REPLICATIONS AND 95% CONFIDENCE INTERVALS FOR FACTOR LOADINGS BASED ON DATASET2004.

in IEEE/ACM TRANSACTIONS ON NETWORKING 1 A Factor Analytic Approach to Inferring Congestion Sharing Based on Flow Level Measurements
by Dogu Arifler, Gustavo De Veciana, Senior Member, Brian L. Evans, Senior Member

Table 4: Hypothesis tests of pooling restrictions. Critical values are estimated by means of the wild bootstrap.

in The determinants of health care expenditure: Testing pooling restrictions in small samples
by Helmut Herwartz, Bernd Theilen

Table 3: Bootstrap 50 topic mean within interval

in Statistical Precision of . . .
by Gordon V. Cormack, et al.

Table 1: Aymptotic Variance of the Sample Mean and Model Based Bootstrap Estimate Under an AR(1) Assumption

in Efficiency And Robustness In Subsampling For Dependent Data
by Michael Sherman 1998
"... In PAGE 7: ... Note that when 6 = 0; ^ VMB is not only not e cient, but fails to be robust, and in fact ^ VMB does not tend to V as n ! 1. Table1 gives the values of V and plim ^ VMB =: ~ V for various values of and , as well as the ratio of the two. We see that for xed , as increases the MB bootstrap performs worse, while for xed the MB bootstrap performs worse as increases.... In PAGE 8: ..., .2, .5, .8, and two di erent choices of B = the number of bootstrap replications. The target values, V are given in the rst four rows of Table1 . The optimal choice of block length, b, for the MF method are for n = 200; b = 4; 8; and 18, for = :2; :5; :8, and for n = 1000; b = 6; 14; 31.... ..."
Cited by 1

Table 3 Bootstrapped standard errors

in Fitting hidden Markov models to psychological data
by Ingmar Visser, Maartje E. J. Raijmakers, Peter C. M. Molenaar
"... In PAGE 8: ... The standard deviations of the resulting distributions of the parame- ters are the approximate standard errors of the param- eters [9,10]. In Table3 the bootstrapped standard er- rors are given along with the mean of the bootstrapped distribution of the parameter. Note that only standard errors of four parameters are given.... ..."

Table 4. Bootstrap Analysis of Overall Rank by Mean Performance Across Problems and Metrics

in An Empirical Comparison of Supervised Learning Algorithms
by Rich Caruana, Alexandru Niculescu-mizil 2006
"... In PAGE 6: ... This bootstrap sampling is repeated 1000 times, yielding 1000 poten- tially di erent rankings of the learning methods. Table4 shows the frequency that each method ranks 1st, 2nd, 3rd, etc. The 0.... ..."
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