R package bootstrap. bootstrap: Functions for the Book ”An Introduction to the Bootstrap”. Software (bootstrap, cross-validation, jackknife) and data for the book ”An Introduction to the Bootstrap” by B. Efron and R. Tibshirani, 1993, Chapman and Hall. This package is primarily provided for projects already based on it, and for support of the book. New projects should preferentially use the recommended package ”boot”.

References in zbMATH (referenced in 1136 articles , 1 standard article )

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  1. Arachchige, Chandima N. P. G.; Prendergast, Luke A.; Staudte, Robert G.: Robust analogs to the coefficient of variation (2022)
  2. Berenfeld, Clément; Harvey, John; Hoffmann, Marc; Shankar, Krishnan: Estimating the reach of a manifold via its convexity defect function (2022)
  3. Böhning, Dankmar; Sangnawakij, Patarawan; Holling, Heinz: Confidence interval estimation for the Mantel-Haenszel estimator of the risk ratio and risk difference in rare event meta-analysis with emphasis on the bootstrap (2022)
  4. Grimm, Viktor; Heinlein, Alexander; Klawonn, Axel; Lanser, Martin; Weber, Janine: Estimating the time-dependent contact rate of SIR and SEIR models in mathematical epidemiology using physics-informed neural networks (2022)
  5. He, Linglin; Hung, Ying: Gaussian process prediction using design-based subsampling (2022)
  6. Lee, Se Yoon; Mallick, Bani K.: Bayesian hierarchical modeling: application towards production results in the Eagle Ford Shale of South Texas (2022)
  7. Modarres, Reza: Nonparametric tests for detection of high dimensional outliers (2022)
  8. Ostrovski, Vladimir: Testing equivalence to power law distributions (2022)
  9. Saini, Shubham; Tomer, Sachin; Garg, Renu: On the reliability estimation of multicomponent stress-strength model for Burr XII distribution using progressively first-failure censored samples (2022)
  10. Shu, Hai; Qu, Zhe: CDPA: common and distinctive pattern analysis between high-dimensional datasets (2022)
  11. Yuan, Meng; Wang, Chunlin; Lin, Boxi; Li, Pengfei: Semiparametric inference on general functionals of two semicontinuous populations (2022)
  12. Aristei, David; Bacci, Silvia; Bartolucci, Francesco; Pandolfi, Silvia: A bivariate finite mixture growth model with selection (2021)
  13. Bertarelli, G.; Chambers, R.; Salvati, N.: Outlier robust small domain estimation via bias correction and robust bootstrapping (2021)
  14. Calviño, Aida; Martín, Nirian; Pardo, Leandro: Robustness of minimum density power divergence estimators and Wald-type test statistics in loglinear models with multinomial sampling (2021)
  15. Catania, Leopoldo; Di Mari, Roberto: Hierarchical Markov-switching models for multivariate integer-valued time-series (2021)
  16. Cechlárová, Katarína; Hančová, Martina; Plačková, Diana; Baltesová, Tatiana: Stochastic modelling and simulation of a kidney transplant waiting list (2021)
  17. Chatterjee, Kiranmoy; Mukherjee, Diganta: On the estimation of population size under dependent dual-record system: an adjusted profile-likelihood approach (2021)
  18. Danisman, Ozgur; Uzunoglu Kocer, Umay: Hidden Markov models with binary dependence (2021)
  19. Deng, Kaihua; Qiu, Jie: Backtesting expected shortfall and beyond (2021)
  20. Dzidzornu, S. K.-B.; Minkah, R.: Assessing the performance of the discrete generalised Pareto distribution in modelling non-life insurance claims (2021)

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