Results 31 to 40 of about 445 (49)
Analytic and Bootstrap Confidence Intervals for the Common-Language Effect Size Estimate
Methodology, 2021 Evaluating how an effect-size estimate performs between two continuous variables based on the common-language effect size (CLES) has received increasing attention.
Johnson Ching-Hong Li +1 more
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ESTIMACIÓN DE KAPLAN MEIER BOOTSTRAP DE LA CURVA DE SUPERVIVENCIA
Pesquimat, 2014 In this work the function of survival is estimated by means of the non-parametric method known like the Kaplan Meier Bootstrap estimator, under the assumption of asymptotical normality.
Freddy Tineo Guevara +2 more
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Estimating the RMSE of Small Area Estimates without the Tears
Stats, 2021 Small area estimation (SAE) methods can provide information that conventional direct survey estimation methods cannot. The use of small area estimates based on linear and generalized linear mixed models is still very limited, possibly because of the ...
Diane Hindmarsh, David Steel
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MathematicsReliability studies frequently employ progressive censoring schemes that remove surviving units during testing, yet statistical inference under such designs remains vulnerable to parametric model misspecification.
Sherif I. Ammar +3 more
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USEFULNESS OF BOOTSTRAPPING IN PORTFOLIO MANAGEMENT
Croatian Operational Research Review, 2012 This paper contains a comparison of in-sample and out-of-sample performances between the resampled efficiency technique, patented by Richard Michaud and Robert Michaud (1999), and traditional Mean-Variance portfolio selection, presented by Harry ...
Boris Radovanov, Aleksandra Marcikić
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Acta Universitatis Lodziensis. Folia Oeconomica, 2017 We consider the problem of the estimation of the mean squared error (MSE) of some domain mean predictor for Fay‑Herriot model. In the simulation study we analyze properties of eight MSE estimators including estimators based on the jackknife method (Jiang,
Małgorzata Karolina Krzciuk
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HGG AdvancesSummary: Genetic correlation refers to the correlation between genetic determinants of a pair of traits. When using individual-level data, it is typically estimated based on a bivariate model specification where the correlation between the two variables ...
Yi-Ting Tsai +7 more
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Efficient bootstrap estimates for tail statistics [PDF]
Natural Hazards and Earth System Sciences, 2017 Bootstrap resamples can be used to investigate the tail of empirical distributions as well as return value estimates from the extremal behaviour of the sample.
Ø. Breivik, O. J. Aarnes
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DesimalThis study aims to model large third-party liability insurance claim data using an exponential mixture distribution with a parametric bootstrap approach.
Ainani Tajriyan Muntaharridwan +1 more
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A parametric bootstrap control chart for Lindley Geometric percentiles.
PLoS ONEControl charts are vital for quality control and process monitoring, helping businesses identify variations in production. Traditional control charts, like Shewhart charts, may not work well for skewed distributions, such as the Lindley geometric ...
Muthanna Ali Hussein Al-Lami +2 more
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