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 873 articles , 1 standard article )

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  1. 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)
  2. Boullé, Marc; Charnay, Clément; Lachiche, Nicolas: A scalable robust and automatic propositionalization approach for Bayesian classification of large mixed numerical and categorical data (2019)
  3. Capanu, Marinela: A unified approach to proving parametric bootstrap consistency for some goodness-of-fit tests (2019)
  4. Hodara, P.; Reynaud-Bouret, P.: Exponential inequality for chaos based on sampling without replacement (2019)
  5. Liu, Yanlou; Xin, Tao; Andersson, Björn; Tian, Wei: Information matrix estimation procedures for cognitive diagnostic models (2019)
  6. Rossini, Jacopo; Canale, Antonio: Quantifying prediction uncertainty for functional-and-scalar to functional autoregressive models under shape constraints (2019)
  7. Aerts, Stephanie; Haesbroeck, G.; Ruwet, C.: Distribution under elliptical symmetry of a distance-based multivariate coefficient of variation (2018)
  8. Bertsimas, Dimitris; Gupta, Vishal; Kallus, Nathan: Data-driven robust optimization (2018)
  9. Bishara, Anthony J.; Li, Jiexiang; Nash, Thomas: Asymptotic confidence intervals for the Pearson correlation via skewness and kurtosis (2018)
  10. Camiz, Sergio; Pillar, Valério D.: Identifying the informational/signal dimension in principal component analysis (2018)
  11. Chen, L.; Davydov, Y.; Gribkova, N.; Zitikis, R.: Estimating the index of increase via balancing deterministic and random data (2018)
  12. Dalar, Ali Zafer; Eğrioğlu, Erol: Bootstrap type-1 fuzzy functions approach for time series forecasting (2018)
  13. Dazard, Jean-Eudes; Ishwaran, Hemant; Mehlotra, Rajeev; Weinberg, Aaron; Zimmerman, Peter: Ensemble survival tree models to reveal pairwise interactions of variables with time-to-events outcomes in low-dimensional setting (2018)
  14. Deng, Lifeng; Ding, Jieli; Liu, Yanyan; Wei, Chengdong: Regression analysis for the proportional hazards model with parameter constraints under case-cohort design (2018)
  15. El Karoui, Noureddine; Purdom, Elizabeth: Can we trust the bootstrap in high-dimensions? The case of linear models (2018)
  16. Ferreira, D. C.; Marques, R. C.; Nunes, A. M.: Economies of scope in the health sector: the case of Portuguese hospitals (2018)
  17. Grammig, Joachim; Küchlin, Eva-Maria: A two-step indirect inference approach to estimate the long-run risk asset pricing model (2018)
  18. Hare, Warren; Loeppky, Jason; Xie, Shangwei: Methods to compare expensive stochastic optimization algorithms with random restarts (2018)
  19. Hooker, Giles; Mentch, Lucas: Bootstrap bias corrections for ensemble methods (2018)
  20. Maior, Vinicius Q. S.; Cysneiros, Francisco José A.: SYMARMA: a new dynamic model for temporal data on conditional symmetric distribution (2018)

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