Results 41 to 50 of about 13,246 (161)
Efficient Calculation of Jackknife Confidence Intervals for Rank Statistics
An algorithm is presented for calculating concordance-discordance totals in a time of order N log N , where N is the number of observations, using a balanced binary search tree.
Roger Newson
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Intervalos de Confianza Jackknife para Cuantiles en Muestreo con Probabilidades Desiguales
We consider the estimation of quantiles in finite population susing the jackknife technique. We use a jackknife variance estimator for unequal probability sampling that works better than the classical jackknife estimator.
Mario J. Pacheco, Hugo A. Brango
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A Jackknife Correction to a Test for Cointegration Rank
This paper investigates the performance of a jackknife correction to a test for cointegration rank in a vector autoregressive system. The limiting distributions of the jackknife-corrected statistics are derived and the critical values of these ...
Marcus J. Chambers
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Growth is one of the key processes in the dynamic of exploited resources, since it provides part of the information required for structured population models.
Luis A Flores
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Linking Error Estimation in Stocking–Lord Linking
Stocking–Lord (SL) linking is a widely used linking method based on item response theory (IRT). This article examines the variability in SL linking parameter estimates within the two-parameter logistic (2PL) model.
Alexander Robitzsch
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Regression analysis is one of the statistical methods used to determine the causal relationship between one or more explanatory variables to the affected variable.
Gustina Saputri +3 more
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We present a method to quantify the convergence rate of the fast estimators of the covariance matrices in the large-scale structure analysis. Our method is based on the Kullback–Leibler (KL) divergence, which describes the relative entropy of two ...
Zhigang Li +3 more
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Citation: 'jackknifing' in the IUPAC Compendium of Chemical Terminology, 5th ed.; International Union of Pure and Applied Chemistry; 2025. Online version 5.0.0, 2025. 10.1351/goldbook.11458 • License: The IUPAC Gold Book is licensed under Creative Commons Attribution-ShareAlike CC BY-SA 4.0 International for individual terms.
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Bootstrap and Jackknife Resampling Methods in Survival Analysis of Patients with Thalassemia Major
Background and Objectives: A small sample size can influence the results of statistical analysis. A reduction in the sample size may happen due to different reasons, such as loss of information, i.e. existing missing value in some variables.
R Ali Akbari Khoei +3 more
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We propose a jackknife variance estimator under two-fases sampling with unequal probability. We assume that the parameters of interest and its stimators can be expressed as a function of means.
Pacheco Mario, Martínez Guillermo
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