Smoothed Bootstrap Methods for Bivariate Data-Reference-Cited by-同舟云学术

Smoothed Bootstrap Methods for Bivariate Data

Published:2023-06-13 Issue:3 Volume:17 Page:
ISSN:1559-8608
Container-title:Journal of Statistical Theory and Practice
language:en
Short-container-title:J Stat Theory Pract

Author:

Al Luhayb Asamh Saleh M.,Coolen-Maturi Tahani^ORCID,Coolen Frank P. A.

Publisher

Springer Science and Business Media LLC

Subject

Statistics and Probability

Link

https://link.springer.com/content/pdf/10.1007/s42519-023-00334-7.pdf

Reference41 articles.

1. Al Luhayb ASM (2021) Smoothed bootstrap methods for right-censored data and bivariate data. Ph.D. thesis, Durham University. http://etheses.dur.ac.uk/14096/

2. Al Luhayb ASM, Coolen FPA, Coolen-Maturi T (2023) Smoothed bootstrap for right-censored data. Commun Stat Theory Methods. https://doi.org/10.1080/03610926.2023.2171708

3. Banks DL (1988) Histospline smoothing the Bayesian bootstrap. Biometrika 75:673–684

4. Berrar D (2019) Introduction to the non-parametric bootstrap. Encyclopedia of bioinformatics and computational biology, vol 1. Academic Press, Oxford, pp 766–773

5. BinHimd S (2014) Nonparametric predictive methods for bootstrap and test reproducibility. Ph.D. thesis, Durham University, UK. http://etheses.dur.ac.uk/9493/

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