Results 21 to 30 of about 566,338 (299)
Parametric Inference for Index Functionals
Econometrics, 2018 In this paper, we study the finite sample accuracy of confidence intervals for index functional built via parametric bootstrap, in the case of inequality indices.
Stéphane Guerrier +2 more
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AIDS versus the Rotterdam Demand System: A Cox Test with Parametric Bootstrap
Journal of Agricultural and Resource Economics, 2002 A Cox test with parametric bootstrap is developed to select between the linearized version of the First-Difference Almost Ideal Demand System (FDAIDS) and the Rotterdam model.
Alix Dameus +3 more
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Confidence Intervals Based on the Difference of Medians for Independent Log-Normal Distributions
Mathematics, 2022 In this paper, we study the inferences of the difference of medians for two independent log-normal distributions. These methods include traditional methods such as the parametric bootstrap approach, the normal approximation approach, the method of ...
Weizhong Tian +2 more
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A bootstrap approach to evaluating the performance of Akaike Information Criterion (AIC) and Bayesian Information Criterion (BIC) in selection of an asymmetric price relationship [PDF]
Journal of Agricultural Sciences (Belgrade), 2012 This study addresses the problem of model selection in asymmetric price transmission models by combining the use of bootstrap methods with information theoretic selection criteria.
Acquah Henry de-Graft
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Parametric bootstrap under model mis-specification [PDF]
Computational Statistics & Data Analysis, 2012 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
H. Y. Kevin Lu, G. Alastair Young
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Revstat Statistical Journal, 2018 Several procedures have been proposed for testing goodness-of-fit to the error distribution in nonparametric regression models. The null distribution of the associated test statistics is usually approximated by means of a parametric bootstrap which ...
G.I. Rivas-Martínez +1 more
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The PIT-trap-A "model-free" bootstrap procedure for inference about regression models with discrete, multivariate responses. [PDF]
PLoS ONE, 2017 Bootstrap methods are widely used in statistics, and bootstrapping of residuals can be especially useful in the regression context. However, difficulties are encountered extending residual resampling to regression settings where residuals are not ...
David I Warton +2 more
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Mathematics, 2023 Monitoring life-testing trials for a product or substance often demands significant time and effort. To expedite this process, sometimes units are subjected to more severe conditions in what is known as accelerated life tests.
Amel Abd-El-Monem +4 more
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Comparison of Parametric and Bootstrap Method in Bioequivalence Test [PDF]
The Korean Journal of Physiology and Pharmacology, 2009 The estimation of 90% parametric confidence intervals (CIs) of mean AUC and Cmax ratios in bioequivalence (BE) tests are based upon the assumption that formulation effects in log-transformed data are normally distributed. To compare the parametric CIs with those obtained from nonparametric methods we performed repeated estimation of bootstrap-resampled
Byung-Jin, Ahn, Dong-Seok, Yim
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, 1992 The bootstrap, extensively studied during the last decade, has become a powerful tool in different areas of Statistical Inference. In this work, we present the main ideas of bootstrap methodology in several contexts, citing the most relevant ...
Prada Sánchez, José Manuel +2 more
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