## 16,391 Citations

Bootstrapped inference for variance parameters, measures of heterogeneity and random effects in multilevel logistic regression models

- Mathematics
- 2020

We used Monte Carlo simulations to assess the performance of three bootstrap procedures for use with multilevel data (the parametric bootstrap, the residuals bootstrap, and the nonparametric…

Statistical Research by Surveys : Case Studies , Constraints and Particularities 188 BOOTSTRAP AND JACKKNIFE RESAMPLING ALGORITHMS FOR ESTIMATION OF REGRESSION PARAMETERS

- Mathematics
- 2007

In this paper, the hierarchical ways for building a regression model by using bootstrap and jackknife resampling methods were presented. Bootstrap approaches based on the observations and errors…

NONPARAMETRIC BOOTSTRAP TECHNIQUES FOR IMPLICITLY WEIGHTED ROBUST ESTIMATORS

- Mathematics
- 2018

The paper is devoted to highly robust statistical estimators based on implicit weighting, which have a potential to find econometric applications. Two particular methods include a robust correlation…

Dependent Bootstrap Confidence Intervals for a Population Mean

- Mathematics, Economics
- 2009

This study compares and analyzes the coverage probabilities and the average interval lengths of confidence interval for a population mean based on the dependent bootstrap procedure against those…

Small-sample Confidence Intervals for Impulse Response Functions

- Economics, MathematicsReview of Economics and Statistics
- 1998

Bias-corrected bootstrap confidence intervals explicitly account for the bias and skewness of the small-sample distribution of the impulse response estimator, while retaining asymptotic validity in…

On Bootstrapping Using Smoothed Bootstrap

- EconomicsProceedings of the Third International Conference on Computing, Mathematics and Statistics (iCMS2017)
- 2019

The standard bootstrap method was introduced as a resampling method for statistical inference; it is a computer based method for assigning measures of accuracy to statistical estimates. The bootstrap…

Bootstrap confidence intervals for the process capability index under half-logistic distribution

- Mathematics, Economics
- 2012

This study concerns the construction of bootstrap confidence intervals for the process capability index in the case of half-logistic distribution. The bootstrap confidence intervals applied consist…

The construction of confidence intervals for frequency analysis using resampling techniques

- Mathematics
- 2004

Abstract. Resampling techniques such as the Bootstrap and the Jack-knife are generic methods for the estimation of uncertainties in statistics. When applied in frequency analysis, resampling…

Efficient bootstrap estimates for tail statistics

- Environmental Science
- 2016

Abstract. 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. Specifically, the confidence…

Weighted Bootstrap with Probability in Regression

- Economics, Mathematics
- 2009

In statistical inference we are often concerned in procuring the standard errors of the estimates of parameters and their confidence intervals. The t and the z statistics used to construct confidence…