bootstrap

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 932 articles , 1 standard article )

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  1. Ahmad, Wan Muhamad Amir W.; Zafakali, Nursyabiha; Aleng, Nor Azlida; Ibrahim, Mohd Shafiq; Hasan, Ruhaya; Mokhtar, Kasypi: Modified zero inflated Poisson regression analysis and its application to public health data (2019)
  2. Baíllo, Amparo; Cárcamo, Javier; Getman, Konstantin: New distance measures for classifying X-ray astronomy data into stellar classes (2019)
  3. Bantis, Leonidas E.; Nakas, Christos T.; Reiser, Benjamin: Construction of confidence intervals for the maximum of the youden index and the corresponding cutoff point of a continuous biomarker (2019)
  4. Bigot, Jérémie; Cazelles, Elsa; Papadakis, Nicolas: Central limit theorems for entropy-regularized optimal transport on finite spaces and statistical applications (2019)
  5. Böhning, Dankmar; van der Heijden, Peter G. M.: The identity of the zero-truncated, one-inflated likelihood and the zero-one-truncated likelihood for general count densities with an application to drink-driving in Britain (2019)
  6. Boullé, Marc; Charnay, Clément; Lachiche, Nicolas: A scalable robust and automatic propositionalization approach for Bayesian classification of large mixed numerical and categorical data (2019)
  7. Bourel, Mathias; Cugliari, Jairo: Bagging of density estimators (2019)
  8. Brazzale, Alessandra R.; Küchenhoff, Helmut; Krügel, Stefanie; Schiergens, Tobias S.; Trentzsch, Heiko; Hartl, Wolfgang: Nonparametric change point estimation for survival distributions with a partially constant hazard rate (2019)
  9. Briol, François-Xavier; Oates, Chris J.; Girolami, Mark; Osborne, Michael A.; Sejdinovic, Dino: Probabilistic integration: a role in statistical computation? (2019)
  10. Calabrese, Raffaella; Osmetti, Silvia Angela: A new approach to measure systemic risk: a bivariate copula model for dependent censored data (2019)
  11. Capanu, Marinela: A unified approach to proving parametric bootstrap consistency for some goodness-of-fit tests (2019)
  12. Chen, Yichao; Pun, Chi Seng: A bootstrap-based KPSS test for functional time series (2019)
  13. del Rosario, Zachary; Lee, Minyong; Iaccarino, Gianluca: Lurking variable detection via dimensional analysis (2019)
  14. Di Caterina, Claudia; Kosmidis, Ioannis: Location-adjusted Wald statistics for scalar parameters (2019)
  15. Donovan, Kevin M.; Hudgens, Michael G.; Gilbert, Peter B.: Nonparametric inference for immune response thresholds of risk in vaccine studies (2019)
  16. Fan, Rui; Lee, Ji Hyung: Predictive quantile regressions under persistence and conditional heteroskedasticity (2019)
  17. Guerrier, Stéphane; Dupuis-Lozeron, Elise; Ma, Yanyuan; Victoria-Feser, Maria-Pia: Simulation-based bias correction methods for complex models (2019)
  18. Hodara, P.; Reynaud-Bouret, P.: Exponential inequality for chaos based on sampling without replacement (2019)
  19. Jantakoon, N.; Volodin, A.: Interval estimation for the shape and scale parameters of the Birnbaum-Saunders distribution (2019)
  20. Jin, Ling Hui; Liu, Yan Yan; Wu, Lang: Weighted least squares method for the accelerated failure time model with auxiliary covariates (2019)

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