Results 261 to 270 of about 20,763 (296)
Nonparametric Bootstrap Statistical Intervals
Wiley Series in Probability and Statistics, 2017 Gerald J Hahn, Luis A Escobar
exaly +2 more sources
Some of the next articles are maybe not open access.
Related searches:
Related searches:
A nonparametric bootstrap method for spatial data
Computational Statistics & Data Analysis, 2019zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Sergio Castillo-Páez +2 more
openaire +2 more sources
A NONPARAMETRIC BOOTSTRAP TEST OF CONDITIONAL DISTRIBUTIONS
Econometric Theory, 2006Summary: This paper proposes a bootstrap test for the correct specification of parametric conditional distributions. It extends \textit{J. X. Zheng}'s test [ibid. 16, No. 5, 667--691 (2000; Zbl 0967.62032)] to allow for discrete dependent variables and for mixed discrete and continuous conditional variables.
Fan, Yanqin, Li, Qi, Min, Insik
openaire +2 more sources
Bootstrapping nonparametric estimators of the volatility function
Journal of Econometrics, 2004zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Franke, Jürgen +2 more
openaire +1 more source
Bootstrap Methods in Nonparametric Regression
1991Bootstrap techniques naturally arise in the setting of nonparametric regression when we consider questions of smoothing parameter selection or error bar construction. The bootstrap provides a simple-to-implement alternative to procedures based on asymptotic arguments.
Mammen, Enno, Härdle, Wolfgang
openaire +2 more sources
Nonparametric bootstrapping for hierarchical data
Journal of Applied Statistics, 2010Nonparametric bootstrapping for hierarchical data is relatively underdeveloped and not straightforward: certainly it does not make sense to use simple nonparametric resampling, which treats all observations as independent. We have provided some resampling strategies of hierarchical data, proved that the strategy of nonparametric bootstrapping on the ...
Shiquan Ren +5 more
openaire +1 more source
A wild bootstrap approach for nonparametric repeated measurements
Computational Statistics & Data Analysis, 2017zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Sarah Friedrich +2 more
openaire +3 more sources
Parametric and nonparametric bootstrap methods for meta-analysis
Behavior Research Methods, 2005In a meta-analysis, the unknown parameters are often estimated using maximum likelihood, and inferences are based on asymptotic theory. It is assumed that, conditional on study characteristics included in the model, the between-study distribution and the sampling distributions of the effect sizes are normal.
Wim, Van Den Noortgate, Patrick, Onghena
openaire +2 more sources
Bootstrap Initialization of Nonparametric Texture Models for Tracking
2000In bootstrap initialization for tracking, we exploit a weak prior model used to track a target to learn a stronger model, without manual intervention. We define a general formulation of this problem and present a simple taxonomy of such tasks. The formulation is instantiated with algorithms for bootstrap initialization in two domains: In one, the ...
Kentaro Toyama, Ying Wu 0001
openaire +1 more source