<p>Confidence intervals (95%) for estimates of mu, with the “best-fit” GSS model, based on the original (empirical) data set, from bootstrapped data sets and from simulations (where mu = 0).</p
<p>Confidence Intervals (CI, 95%) with lower and upper limit of CI for mean nuggets over the five co...
<p>Mean and empirical 95% confidence limits estimated for both SF-36P and McGill from 5000 simulatio...
Results for confidence, bootstrap confidence and credible intervals when a = 0.5, b1 = 1.5, b2 = 2.5...
<p>The 95% confidence intervals obtained by 200 bootstrap replicates for parameter estimates in <a h...
<p>The 95% confidence intervals obtained by 200 bootstrap replicates for parameter estimates in <a h...
The 95% confidence intervals of accuracy and MCC of the supervised learning models for the main data...
<p>The confidence intervals are generated from 500 bootstrap re-samples of the data.</p
<p>Mean and 95% confidence intervals of the single variable models, for each scenario (pre- and post...
The 95% confidence intervals of accuracy and MCC of the supervised learning models for the external ...
Bootstrap confidence intervals for the considered estimates of θ for example 1.</p
<p>Parameter estimates using power-law model (95% confidence intervals determined using bootstrap pe...
<p>For 5 published data sets, the 95% confidence intervals on <i>α</i> and <i>ρ</i> were calculated ...
The focus of this thesis is to investigate the effect of varied selections of B, the number of Boots...
Results for confidence, bootstrap confidence and credible intervals when a = b1 = b2 = ϑ = γ = β = 0...
1. Researchers often want to place a confidence interval around estimated parameter values calculate...
<p>Confidence Intervals (CI, 95%) with lower and upper limit of CI for mean nuggets over the five co...
<p>Mean and empirical 95% confidence limits estimated for both SF-36P and McGill from 5000 simulatio...
Results for confidence, bootstrap confidence and credible intervals when a = 0.5, b1 = 1.5, b2 = 2.5...
<p>The 95% confidence intervals obtained by 200 bootstrap replicates for parameter estimates in <a h...
<p>The 95% confidence intervals obtained by 200 bootstrap replicates for parameter estimates in <a h...
The 95% confidence intervals of accuracy and MCC of the supervised learning models for the main data...
<p>The confidence intervals are generated from 500 bootstrap re-samples of the data.</p
<p>Mean and 95% confidence intervals of the single variable models, for each scenario (pre- and post...
The 95% confidence intervals of accuracy and MCC of the supervised learning models for the external ...
Bootstrap confidence intervals for the considered estimates of θ for example 1.</p
<p>Parameter estimates using power-law model (95% confidence intervals determined using bootstrap pe...
<p>For 5 published data sets, the 95% confidence intervals on <i>α</i> and <i>ρ</i> were calculated ...
The focus of this thesis is to investigate the effect of varied selections of B, the number of Boots...
Results for confidence, bootstrap confidence and credible intervals when a = b1 = b2 = ϑ = γ = β = 0...
1. Researchers often want to place a confidence interval around estimated parameter values calculate...
<p>Confidence Intervals (CI, 95%) with lower and upper limit of CI for mean nuggets over the five co...
<p>Mean and empirical 95% confidence limits estimated for both SF-36P and McGill from 5000 simulatio...
Results for confidence, bootstrap confidence and credible intervals when a = 0.5, b1 = 1.5, b2 = 2.5...
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