Confidence intervals, standard errors and the Bootstrap
Standard errors and confidence intervals in inverse problems: sensitivity and associated pitfalls
... of standard errors (SE) and confidence intervals (CI) for ordinary least squares (OLS) problems using what engineers and applied mathematicians call sensitivity matrices [1, 10, 12, 13, 14, ...
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Bootstrap confidence intervals for predicted rainfall quantiles
... for confidence intervals; we have just pre- viewed some of ...finding confidence for quantiles close to 0 and 100 must be treated ...of bootstrap samples that need to be taken to produce ...
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Normal and Bootstrap Confidence Intervals in Bitterlich Sampling
... paper, confidence intervals are con- structed and evaluated using the normal approach and two bootstrap meth- ods; the percentile method (C α ) and the bias-corrected and accelerated me- thod (BC α ...
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Bootstrap confidence intervals for industrial recurrent event data
... asymptotic confidence intervals for the cost and the number of cumulative recurrent ...a standard procedure, it can not perform well in some situations, in particular when the sample size available ...
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Confidence Intervals for Effect Sizes: Applying Bootstrap Resampling
... publications. Confidence intervals can help inform readers as to how precise point estimates are, and how likely the point estimates are to be replicated in another similar ...and confidence ...
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Bootstrap Confidence Intervals for Medical Costs With Censored Observations
... that confidence intervals based on normal approximations of Bang and Tsiatis’ estimators can have much lower than nominal level coverage probabilities when cost observations are moderately or severely ...a ...
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Propensity score interval matching: using bootstrap confidence intervals for accommodating estimation errors of propensity scores
... The purpose of the present study was to extend caliper matching to a new matching technique, interval matching, by using unit-specific bootstrap confidence intervals (CIs) [5] for gauging the ...
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Quantifying uncertainty on sediment loads using bootstrap confidence intervals
... a standard error or a confidence ...A bootstrap method is then developed that accounts for the uncertainty in the concentration and discharge predictions, allowing temporal correlation in the ...
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Double bootstrap confidence intervals in the two stage DEA approach
... the confidence intervals towards their nominal significance levels are ...of confidence intervals is adversely affected by the number of dimensions assumed for the production process in the ...
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Bootstrap-based confidence intervals in partially accelerated life testing
... two bootstrap-based methods for obtaining confidence intervals for the distribution parameters and the acceleration ...lower confidence bounds for the mean life of the product under normal use ...
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Online Bootstrap Confidence Intervals for the Stochastic Gradient Descent Estimator
... classical bootstrap is not directly applicable if the data are not stored in ...online bootstrap procedure for the estimation of confidence intervals, which, upon the arrival of each ...
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Poor Performance of Bootstrap Confidence Intervals for the Location of a Quantitative Trait Locus
... that bootstrap confidence intervals for QTL location perform poorly and so should not be used in this context, the LOD support and approximate Bayes credible intervals were seen to behave ...
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Estimation of Correlation Confidence Intervals via the Bootstrap: Non-Normal Distributions
... Estimating confidence intervals (CIs) for the correlation has been a ...the bootstrap makes it a good option for estimating correlation ...of bootstrap CIs for the correlation with non-normal ...
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Bootstrap Confidence Intervals for Proportions of Unequal Sized Groups Adjusted for Overdispersion
... accurate confidence intervals ...accurate Bootstrap confidence intervals (CIs) for the proportion of defective or positive units in ...sizes. Bootstrap resampling was applied on ...
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Energy Substitutability in Canadian Manufacturing: Econometric Estimation with Bootstrap Confidence Intervals
... provide confidence intervals of these parameters by relying on the resampling bootstrap technique that is more appropriate for constructing confidence intervals when the distribution of ...
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Bootstrap Confidence Intervals for Sharp Regression Discontinuity Designs with the Uniform Kernel
... novel bootstrap procedure to obtain robust bias-corrected confidence intervals in regression discontinuity (RD) designs using the uniform ...residual bootstrap from a second order local ...
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On Bootstrap Confidence Intervals Associated with Nonparametric Regression Estimators for A Finite Population Total
... setting confidence intervals for a single parameter in a multiparameter ...approximate intervals rely on maximum likelihood theory was thought to be ...The bootstrap confidence ...
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Evaluation of Modified Non-Normal Process Capability Index and Its Bootstrap Confidence Intervals
... The Weibull distribution is commonly used for industry oriented processes and has a significantly different tail behav- ior. But a limited study is available in literature where the performance of MAD based estimator of ...
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On the Accuracy of Bootstrap Confidence Intervals for Efficiency Levels in Stochastic Frontier Models with Panel Data
... of confidence intervals for efficiency levels of individual firms in stochastic frontier models with panel ...centile bootstrap, but not as well as bootstrap methods that make bias ...accurate ...
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Boostraping standard errors and confidence intervals
... Metoda bootstrap je osrednja tema tega ...metoda bootstrap bomo poimenovali najbolj osnovno, neparametriˇcno razliˇcico ...Metodo bootstrap se uporablja za ocenjevanje standardne napake, pri- ...
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