Nonparametric estimates of standard error: The jackknife, the bootstrap and other methods

Bootstrap methods: another look at the jackknife

Efron, B. (1979) · The Annals of Statistics · doi:10.1214/aos/1176344552 · Cited by 17,602

Continuous Univariate Distributions.

Omori, Y., Johnson, N. L., Kotz, S., & Balakrishnan, N. (1995) · Journal of the American Statistical Association · doi:10.2307/2291547 · Cited by 9,085

The Influence Curve and Its Role in Robust Estimation

Hampel, F. R. (1974) · Journal of the American Statistical Association · doi:10.1080/01621459.1974.10482962 · Cited by 2,847

The Jackknife Estimate of Variance

Efron, B., & Stein, C. (1981) · The Annals of Statistics · doi:10.1214/aos/1176345462 · Cited by 1,424

The jackknife-a review

Miller, R. G. (1974) · Biometrika · doi:10.1093/biomet/61.1.1 · Cited by 1,391

Computers and the Theory of Statistics: Thinking the Unthinkable

Efron, B. (1979) · SIAM Review · doi:10.1137/1021092 · Cited by 880

Censored Data and the Bootstrap

Efron, B. (1981) · Journal of the American Statistical Association · doi:10.1080/01621459.1981.10477650 · Cited by 689

Inference from Complex Samples

Kish, L., & Frankel, M. R. (1974) · Journal of the Royal Statistical Society Series B (Methodological) · doi:10.1111/j.2517-6161.1974.tb00981.x · Cited by 530

Robust estimation and outlier detection with correlation coefficients

Devlin, S. J., Gnanadesikan, R., & Kettenring, J. R. (1975) · Biometrika · doi:10.1093/biomet/62.3.531 · Cited by 385

Pseudo-Replication: Half Samples

McCarthy, P. J. (1969) · Revue de l Institut International de Statistique / Review of the International Statistical Institute · doi:10.2307/1402116 · Cited by 177

Sharpening estimators using resampling

Kim, Y., & Singh, K. (1998) · Journal of Statistical Planning and Inference · doi:10.1016/s0378-3758(97)00079-7 · Cited by 13

Hidden Markov Acoustic Modeling With Bootstrap and Restructuring for Low-Resourced Languages

Cui, X., Xue, J., Chen, X., Olsen, P. A., Dognin, P., Chaudhari, U. V., Hershey, J. R., & Zhou, B. (2012) · IEEE Transactions on Audio Speech and Language Processing · doi:10.1109/tasl.2012.2199982 · Cited by 13

Frequency and distribution of Antestiopsis orbitalis Westwood (Hem., Pentatomidae) in coffee plantations in Burundi: implications for sampling techniques

Cilas, C., Bouyjou, B., & Decazy, B. (1998) · Journal of Applied Entomology · doi:10.1111/j.1439-0418.1998.tb01552.x · Cited by 13

Determining what our students need most: exploring student perceptions and comparing difficulty ratings of students and faculty

Gulacar, O., & Bowman, C. R. (2014) · Chemistry Education Research and Practice · doi:10.1039/c4rp00055b · Cited by 13

Race/Ethnicity-Related and Payer-Related Disparities in the Timeliness of Emergency Care in U.S. Emergency Departments

Johnston, V. J., & Bao, Y. (2011) · Journal of Health Care for the Poor and Underserved · doi:10.1353/hpu.2011.0050 · Cited by 13

An inference procedure for behavioural studies combining numerical simulations, statistics and experimental results

Guarini, J., Coston‐Guarini, J., Deprez, T., & Chauvaud, L. (2017) · Journal of the Marine Biological Association of the United Kingdom · doi:10.1017/s0025315417001783 · Cited by 13

Impacto del calentamiento global en la distribución y supervivencia del pinsapo (Serranía de Ronda)

Gutiérrez-Hernández, O. (2018) · Boletín de la Asociación de Geógrafos Españoles · doi:10.21138/bage.2532 · Cited by 16

The History of Bootstrapping: Tracing the Development of Resampling with Replacement

LaFontaine, D. (2021) · The Mathematics Enthusiast · doi:10.54870/1551-3440.1515 · Cited by 13

Classification of Non-Severe Traumatic Brain Injury from Resting-State EEG Signal Using LSTM Network with ECOC-SVM

Lai, C. Q., Ibrahim, H., Hamid, A. I. A., & Abdullah, J. M. (2020) · Sensors · doi:10.3390/s20185234 · Cited by 16

Sequential Learning of Active Subspaces

Wycoff, N., Binois, M., & Wild, S. M. (2021) · Journal of Computational and Graphical Statistics · doi:10.1080/10618600.2021.1874962 · Cited by 20

Trade, uneven development and people in motion: Used territories and the initial spread of COVID-19 in Mesoamerica and the Caribbean

Chaves, L. F., Friberg, M. D., Hurtado, L. A., Rodríguez, R. M., O’Sullivan, D., & Bergmann, L. R. (2021) · Socio-Economic Planning Sciences · doi:10.1016/j.seps.2021.101161 · Cited by 13

A Bayesian Approach to Estimating Reciprocal Effects with the Bivariate STARTS Model

Lüdtke, O., Robitzsch, A., & Ulitzsch, E. (2022) · Multivariate Behavioral Research · doi:10.1080/00273171.2022.2039585 · Cited by 19

Double Bootstrap Confidence Interval Estimates with Censored and Truncated Data

Arasan, J., & Adam, M. B. (2014) · Journal of Modern Applied Statistical Methods · doi:10.22237/jmasm/1414815660 · Cited by 13

Validation of Uncertainty Quantification Methods for High-Fidelity CFD of Ship Response in Irregular Waves

Diez, M., Broglia, R., Durante, D., Olivieri, A., Campana, E. F., & Stern, F. M. (2017) · AIAA Aerospace Sciences Meeting · doi:10.2514/6.2017-1655 · Cited by 13

Some observations on the biology of two rarely seen deep‐sea chimaerids, Chimaera carophila and Hydrolagus homonycteris

Finucci, B., Stevens, D. W., Jones, E. G., & Dunn, M. R. (2017) · Journal of Fish Biology · doi:10.1111/jfb.13284 · Cited by 13

Predatory pelagic fishes of the Bijagós Archipelago (Guinea-Bissau) show high overlap in diets dominated by sardinella

Correia, E., Granadeiro, J. P., Regalla, A., Dias, E., Almeida, A., & Catry, P. (2017) · African Journal of Marine Science · doi:10.2989/1814232x.2017.1387605 · Cited by 13

Interannual Variability of the Daytime Equatorial Ionospheric Electric Field

Yamazaki, Y., Stolle, C., Matzka, J., Liu, H., & Tao, C. (2018) · Journal of Geophysical Research Space Physics · doi:10.1029/2017ja025165 · Cited by 13

On the estimation of skewness of a statistic using the jackknife and the bootstrap

Tu, D., & Zhang, L. (1992) · Statistical Papers · doi:10.1007/bf02925311 · Cited by 13

Numerical and Statistical Methodology to Analyze Microbial Spoilage of Refrigerated Solid Foods Exposed to Temperature Abuse

Almonacid, S., THOMAS, D. R., & Torres, J. A. (1993) · Journal of Food Science · doi:10.1111/j.1365-2621.1993.tb09390.x · Cited by 13

Utilization of the Denny-Brown collection: Differential recovery of forelimb and hind limb stepping after extensive unilateral cerebral lesions

Vilensky, J. A., Gilman, S., Dunn, E. A., & Wilson, W. J. (1997) · Behavioural Brain Research · doi:10.1016/s0166-4328(97)80992-8 · Cited by 13

Event‐related analysis for event types of fixed order and restricted spacing by temporal quantification of trial‐averaged fMRI time courses

Ruge, H., Braß, M., Lohmann, G., & von Cramon, D. Y. (2003) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.10397 · Cited by 13

Running time variability and resource allocation : a data-driven analysis of high-frequency bus operations

Sánchez-Martínez, G. E. (2012) · Cited by 13

Evaluating four fish-based indices of biotic integrity for similar measures of ecological condition

Jarvie, M., & Jackson, D. A. (2023) · Ecological Indicators · doi:10.1016/j.ecolind.2023.110395 · Cited by 12

Multiparameter Constraints on Empirical Infrasound Period-Yield Relations for Bolides and Implications for Planetary Defense

Silber, E. A., Trigo-Rodríguez, J. M., Oseghae, I., Peña‐Asensio, E., Boslough, M. B., Whitaker, R. W., Pilger, C., Lubin, P. M., Sawal, V., Hetzer, C. H., et al. (2025) · The Astronomical Journal · doi:10.3847/1538-3881/add47d · Cited by 12

The impact of sampling density upon cortical network analysis: regions or points

Tohka, J., Yong He, A., & Evans, A. C. (2012) · Magnetic Resonance Imaging · doi:10.1016/j.mri.2012.02.029 · Cited by 12

Mapping and Crosswalk of the Oxford Hip Score and Different Versions of the Hip Disability and Osteoarthritis Outcome Score

Putman, S., Preda, C., Girard, J., Duhamel, A., & Migаud, H. (2021) · Clinical Orthopaedics and Related Research · doi:10.1097/corr.0000000000001675 · Cited by 12

Occurrence of Relative Bradycardia and Relative Tachycardia in Individuals Diagnosed With COVID-19

Natarajan, A., Su, H.-W., & Heneghan, C. (2022) · Frontiers in Physiology · doi:10.3389/fphys.2022.898251 · Cited by 12

Solar and lunar daily geomagnetic variations and their equivalent current systems observed by Swarm

Yamazaki, Y. (2022) · Earth Planets and Space · doi:10.1186/s40623-022-01656-9 · Cited by 12

A large-scale study on the nocturnal behavior of African ungulates in zoos and its influencing factors

Gübert, J., Hahn‐Klimroth, M., & Dierkes, P. W. (2023) · Frontiers in Ethology · doi:10.3389/fetho.2023.1219977 · Cited by 12

Re‐evaluating the effect of wind on recruitment in G ulf of M aine A tlantic C od ( G adus morhua) using an environmentally‐explicit stock recruitment model

Hare, J. A., Brooks, E. N., Palmer, M. C., & Churchill, J. H. (2015) · Fisheries Oceanography · doi:10.1111/fog.12095 · Cited by 12

Tree community shifts and Acorn Woodpecker population increases over three decades in a Californian oak woodland

McMahon, D. E., Pearse, I. S., Koenig, W. D., & Walters, E. L. (2015) · Canadian Journal of Forest Research · doi:10.1139/cjfr-2015-0035 · Cited by 12

Differences Between US and UK Adults in Stroke Preparedness

Dombrowski, S. U., Ford, G. A., Morgenstern, L. B., White, M. J., Sniehotta, F. F., Mackintosh, J. E., Gellert, P. R., & Skolarus, L. E. (2015) · Stroke · doi:10.1161/strokeaha.115.009997 · Cited by 12

Agreement in Metastatic Spinal Cord Compression

Arana, E., Kovacs, F. M., Royuela, A., Asenjo, B., Pérez‐Ramírez, Ú., & Zamora, J. (2016) · Journal of the National Comprehensive Cancer Network · doi:10.6004/jnccn.2016.0008 · Cited by 12

Fractal measures of spatial pattern as a heuristic for return rate in vegetative systems

Irvine, M. A., Jackson, E. L., Kenyon, E. J., Cook, K. J., Keeling, M. J., & Bull, J. C. (2016) · Royal Society Open Science · doi:10.1098/rsos.150519 · Cited by 12

Predicting the Sensitivity of Multiscale Coarse-Grained Models to their Underlying Fine-Grained Model Parameters

Wagner, J. W., Dama, J. F., & Voth, G. A. (2015) · Journal of Chemical Theory and Computation · doi:10.1021/acs.jctc.5b00180 · Cited by 12

Parkinson subtype-specific Granger-causal coupling and coherence frequency in the subthalamic area

Florin, E., Pfeifer, J., Visser-Vandewalle, V. E. R. M., Schnitzler, A., & Timmermann, L. (2016) · Neuroscience · doi:10.1016/j.neuroscience.2016.06.052 · Cited by 12

Isotopic Labeling of Eukaryotic Membrane Proteins for NMR Studies of Interactions and Dynamics

Dikiy, I., Clark, L. D., Gardner, K. H., & Rosenbaum, D. M. (2018) · Methods in enzymology on CD-ROM/Methods in enzymology · doi:10.1016/bs.mie.2018.08.030 · Cited by 12

Predictive Modeling of Hypoglycemia Risk with Basal Insulin Use in Type 2 Diabetes: Use of Machine Learning in the LIGHTNING Study

Bosnyák, Z., Zhou, F. L., Jiménez, J., & Berria, R. (2019) · Diabetes Therapy · doi:10.1007/s13300-019-0567-9 · Cited by 11

Longitudinal variability of the equatorial counter electrojet during the solar cycle 24

Soares, G. B., Yamazaki, Y., Matzka, J., Pinheiro, K., Stolle, C., Alken, P., Yoshikawa, A., Uozumi, T., Fujimoto, A., & Kulkarni, A. S. (2019) · Studia Geophysica et Geodaetica · doi:10.1007/s11200-018-0286-0 · Cited by 12

Growth Rate and Equilibrium Size of a Recolonizing Wolf Population in the Southern Lake Superior Region

Deelen, T. R. V. (2009) · Springer eBooks · doi:10.1007/978-0-387-85952-1_9 · Cited by 12

Replicating Text: The Cumulation of Knowledge in Social Science

Hogenraad, R. L., & McKenzie, D. P. (1999) · Quality & Quantity · doi:10.1023/a:1026421730175 · Cited by 12

Plant response to temperature stress is characterized by an asymmetric sigmoid function

Verwijst, T., & von Fircks, H. A. (1994) · Environmental and Experimental Botany · doi:10.1016/0098-8472(94)90011-6 · Cited by 12

On the information content of forest transpiration measurements for identifying canopy conductance model parameters

Dekker, S. C., Bouten, W., & Bosveld, F. C. (2001) · Hydrological Processes · doi:10.1002/hyp.270 · Cited by 12

LSTM network as a screening tool to detect moderate traumatic brain injury from resting-state electroencephalogram

Lai, C. Q., Ibrahim, H., Hamid, A. I. A., & Abdullah, J. M. (2022) · Expert Systems with Applications · doi:10.1016/j.eswa.2022.116761 · Cited by 11

New Seawater Dielectric Constant Parametrization and Application to SMOS Retrieved Salinity

Boutin, J., Vergely, J., Bonjean, F., Perrot, X., Zhou, Y., Dinnat, E. P., Lang, R. H., Vine, D. M. L., & Sabia, R. (2023) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2023.3257923 · Cited by 11

Enhancing medical image classification through controlled diversity in ensemble learning

Roy, M., & Baruah, U. (2024) · Engineering Applications of Artificial Intelligence · doi:10.1016/j.engappai.2024.108138 · Cited by 11

Finite Mixtures of Latent Trait Analyzers With Concomitant Variables for Bipartite Networks: An Analysis of COVID-19 Data

Failli, D., Marino, M. F., & Martella, F. (2024) · Multivariate Behavioral Research · doi:10.1080/00273171.2024.2335391 · Cited by 11

Observation of Student and Teacher Behaviors during a Preliminary Active Playful Learning Intervention in Kindergarten Classrooms

Blinkoff, E., Nesbitt, K. T., Golinkoff, R. M., & Hirsh‐Pasek, K. (2024) · Education Sciences · doi:10.3390/educsci14060648 · Cited by 11

Combining High- and Low-Rate Geodetic Data Analysis for Unveiling Rapid Magma Transfer Feeding a Sequence of Violent Summit Paroxysms at Etna in Late 2015

Bonforte, A., Cannavò, F., Gambino, S., & Guglielmino, F. (2021) · Applied Sciences · doi:10.3390/app11104630 · Cited by 11

Obscured AGN enhancement in galaxy pairs at cosmic noon: evidence from a probabilistic treatment of photometric redshifts

Dougherty, S. L., Harrison, C. M., Kocevski, D. D., & Rosario, D. J. (2023) · Monthly Notices of the Royal Astronomical Society · doi:10.1093/mnras/stad1300 · Cited by 11

Detecting recent changes in the areal extent of North Cascades glaciers, USA

O’Neal, M., Hanson, B., Carisio, S., & Satinsky, A. (2015) · Quaternary Research · doi:10.1016/j.yqres.2015.05.007 · Cited by 11

Mismatch on the Dutch Labour Market in the Great Recession

Erken, H., van Loon, E., & Verbeek, W. (2015) · De Economist · doi:10.1007/s10645-015-9257-9 · Cited by 12

Forming Tool Use Representations: A Neurophysiological Investigation into Tool Exposure

Mizelle, J. C., Tang, T., Pirouz, N., & Wheaton, L. A. (2011) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_00004 · Cited by 11

The Caenorhabditis elegans homolog of the Opitz syndrome gene, madd-2/Mid1, regulates anchor cell invasion during vulval development

Morf, M. K., Rimann, I., Alexander, M., Roy, P. J., & Hajnal, A. (2012) · Developmental Biology · doi:10.1016/j.ydbio.2012.11.019 · Cited by 11

Maternal Zika virus infection and newborn microcephaly—an analysis of the epidemiological evidence

Bautista, L. E. (2017) · Annals of Epidemiology · doi:10.1016/j.annepidem.2017.11.010 · Cited by 11

Quantitative Methods of Data Analysis for the Physical Sciences and Engineering

Martinson, D. G. (2018) · Cambridge University Press eBooks · doi:10.1017/9781139342568 · Cited by 11

Linking With External Covariates: Examining Accuracy by Anchor Type, Test Length, Ability Difference, and Sample Size

Albano, A. D., & Wiberg, M. (2019) · Applied Psychological Measurement · doi:10.1177/0146621618824855 · Cited by 11

Functional analysis of information rates conveyed by rat whisker-related trigeminal nuclei neurons

Laturnus, S., Hoffmann, A., Chakrabarti, S., & Schwarz, C. (2021) · Journal of Neurophysiology · doi:10.1152/jn.00350.2020 · Cited by 11

Anion–cation contrast of small molecule solvation in salt solutions

Hervø-Hansen, S., Heyda, J., Lund, M., & Matubayasi, N. (2022) · Physical Chemistry Chemical Physics · doi:10.1039/d1cp04129k · Cited by 11

Automatic detection and quantification of growth spurts

Dandurand, F., & Shultz, T. (2010) · Behavior Research Methods · doi:10.3758/brm.42.3.809 · Cited by 9

Subtype-specific statistical causalities in parkinsonian tremor

Florin, E., Himmel, M., Reck, C., Maarouf, M., Schnitzler, A., Sturm, V., Fink, G. R., & Timmermann, L. (2012) · Neuroscience · doi:10.1016/j.neuroscience.2012.02.045 · Cited by 11

A new approach for spectral feature extraction and for unsupervised classification of hyperspectral data based on the Gaussian mixture model

Koltunov, A., & Ben‐Dor, E. (2001) · Remote Sensing Reviews · doi:10.1080/02757250109532431 · Cited by 11

Probabilistic validation of computer simulations using the bootstrap

Halfon, E. (1989) · Ecological Modelling · doi:10.1016/0304-3800(89)90018-5 · Cited by 11

Accuracy estimation for quasi-Monte Carlo simulations

Snyder, W. C. (2000) · Mathematics and Computers in Simulation · doi:10.1016/s0378-4754(00)00204-4 · Cited by 11

Markov transition model to dementia with death as a competing event

Wei, S., Xu, L., & Kryscio, R. J. (2014) · Computational Statistics & Data Analysis · doi:10.1016/j.csda.2014.06.014 · Cited by 11

A Bootstrap Method for Using Imputation Techniques for Data With Missing Values

Bello, A. D. (1994) · Biometrical Journal · doi:10.1002/bimj.4710360405 · Cited by 11

Endogenous GHB in Segmented Hair Part I: Inter-individual Variation for Group Comparisons

Thomas, J. L., Strickland, E. C., Lloyd, E. W., Donnelly, C. C., Rankoth, A., Pieczonka, S. M., Colpoys, C., Smith, M. A., LeBeau, M. A., Montgomery, M. A., et al. (2020) · Journal of Analytical Toxicology · doi:10.1093/jat/bkaa080 · Cited by 11

Towards a segmental vocoder driven by ultrasound and optical images of the tongue and lips

Hueber, T., Chollet, G., Denby, B., Dreyfus, G., & Stone, M. (2008) · Interspeech (USB) · doi:10.21437/interspeech.2008-527 · Cited by 11

Erosion of Regression Effect in a Survival Study

O’Quigley, J., & Natarajan, L. (2004) · Biometrics · doi:10.1111/j.0006-341x.2004.00178.x · Cited by 11

A non-intrusive reduced order model for the characterisation of the spatial power distribution in large thermal reactors

Abrate, N., Dulla, S., & Pedroni, N. (2023) · Annals of Nuclear Energy · doi:10.1016/j.anucene.2022.109674 · Cited by 10

Forecasting interfacial bond strength in FRP-reinforced concrete using soft computing techniques

Alotaibi, K. S., & Almohammed, F. H. (2025) · Construction and Building Materials · doi:10.1016/j.conbuildmat.2025.140827 · Cited by 10

Towards an accurate pressure estimation in injection molding simulation using surrogate modeling

Saad, S., Sinha, A., Cruz, C., Régnier, G., & Ammar, A. (2022) · International Journal of Material Forming · doi:10.1007/s12289-022-01717-0 · Cited by 10

Age differences in brain activity related to unsuccessful declarative memory retrieval

Grady, C. L., St‐Laurent, M., & Burianová, H. (2014) · Brain Research · doi:10.1016/j.brainres.2014.12.036 · Cited by 10

Phenology, Life Tables, and Reproductive Biology of Tetraleurodes perseae (Hemiptera: Aleyrodidae) on California Avocados

Hoddle, M. S. (2006) · Annals of the Entomological Society of America · doi:10.1603/0013-8746(2006)99[553:pltarb]2.0.co;2 · Cited by 10

Bait flavor preference and immunogenicity of ONRAB baits in domestic dogs on the Navajo Nation, Arizona

Berentsen, A. R., Bender, S., Bender, P., Bergman, D. L., Gilbert, A. T., Rowland, H. M., & VerCauteren, K. C. (2016) · Journal of Veterinary Behavior · doi:10.1016/j.jveb.2016.08.007 · Cited by 10

Robust bootstrap procedures for the chain-ladder method

Peremans, K., Segaert, P., Aelst, S. V., & Verdonck, T. (2016) · Scandinavian Actuarial Journal · doi:10.1080/03461238.2016.1263236 · Cited by 10

Point and Interval Forecasting of Zonal Electricity Prices and Demand Using Heteroscedastic Models: The IPEX Case

Bernardi, M., & Lisi, F. (2020) · Energies · doi:10.3390/en13236191 · Cited by 10

Bootstrap Liu estimators for Poisson regression model

Perveen, I., & Suhail, M. (2021) · Communications in Statistics - Simulation and Computation · doi:10.1080/03610918.2021.1916825 · Cited by 10

Surface-Dominated Finite-Size Effects in Nanoconfined Superfluid Helium

Varga, E., Undershute, C., & Davis, J. P. (2022) · Physical Review Letters · doi:10.1103/physrevlett.129.145301 · Cited by 10

Open‐ITC: an alternate computational approach to analyze the isothermal titration calorimetry data of complex binding mechanisms

Krishnamoorthy, J., & Mohanty, S. (2011) · Journal of Molecular Recognition · doi:10.1002/jmr.1154 · Cited by 10

Nonparametric estimation of Kullback-Leibler information illustrated by evaluating goodness of fit

Viele, K. (2007) · Bayesian Analysis · doi:10.1214/07-ba210 · Cited by 10

Contingency management voucher redemption as an indicator of delayed gratification

Fletcher, J. B., Dierst-Davies, R., & Reback, C. J. (2014) · Journal of Substance Abuse Treatment · doi:10.1016/j.jsat.2014.03.003 · Cited by 11

Use of Angiotensin‐Converting Enzyme Inhibitors and Angiotensin Receptor Blockers for Geriatric Ischemic Stroke Patients: Are the Rates Right?

Brooks, J. M., Chapman, C. G., Suneja, M., Schroeder, M. C., Fravel, M. A., Schneider, K. M., Wilwert, J. M., Li, Y., Chrischilles, E. A., Brenton, D. W., et al. (2018) · Journal of the American Heart Association · doi:10.1161/jaha.118.009137 · Cited by 10

Inferring Cortical Connectivity From ECoG Signals Using Graph Signal Processing

Tavildar, S., Mogen, B. J., Zanos, S. P., Seeman, S. C., Perlmutter, S. I., Fetz, E. E., & Ashrafi, A. (2019) · IEEE Access · doi:10.1109/access.2019.2934490 · Cited by 10

Predischarge QRS Score and Risk for Heart Failure After First ST-Elevation Myocardial Infarction

Kalogeropoulos, A. P., Chiladakis, J. A., Sihlimiris, I., Koutsogiannis, N., & Alexopoulos, D. (2008) · Journal of Cardiac Failure · doi:10.1016/j.cardfail.2007.11.004 · Cited by 10

Bootstrapping und andere Resampling-Methoden

Reimer, K. (2009) · Gabler Verlag eBooks · doi:10.1007/978-3-322-96406-9_33 · Cited by 10

Nonparametric estimation of variance, skewness and kurtosis of the distribution of a statistic by jackknife and bootstrap techniques

SCHEMPER, M. (1987) · Statistica Neerlandica · doi:10.1111/j.1467-9574.1987.tb01171.x · Cited by 10

Biometrika Centenary: Nonparametrics

Hall, P. (2001) · Biometrika · doi:10.1093/biomet/88.1.143 · Cited by 10

Bootstrap comparison of fuzzy ROC curves for ECG-LVH algorithms using data from the framingham heart study

Campbell, G., Levy, D. A., & Bailey, J. J. (1990) · Journal of Electrocardiology · doi:10.1016/0022-0736(90)90088-j · Cited by 10

Parametric Bootstrap for Differentially Private Confidence IntervalsPreprint

Ferrando, C., Wang, S., & Sheldon, D. R. (2020) · arXiv (Cornell University) · doi:10.48550/arxiv.2006.07749 · Cited by 10

Causal Inference in Radiomics: Framework, Mechanisms, and Algorithms

Ghosh, D., Mastej, E. J., Jain, R., & Choi, Y. S. (2022) · Frontiers in Neuroscience · doi:10.3389/fnins.2022.884708 · Cited by 10

A Fisher Information Theory of Aesthetic Preference for Complexity

Berquet, S., Aleem, H., & Grzywacz, N. M. (2024) · Entropy · doi:10.3390/e26110901 · Cited by 10

Quantifying the variation in neonatal transport referral patterns using network analysis

Kunz, S. N., Helkey, D., Žitnik, M., Phibbs, C. S., Rigdon, J., Zupancic, J. A. F., & Profit, J. (2021) · Journal of Perinatology · doi:10.1038/s41372-021-01091-w · Cited by 9

A non-destructive estimation of chlorophyll-a and -b over different crops using airborne imaging spectroscopy observations

Kushwaha, A., Das, A., Dave, R. H., & Bhattacharya, B. K. (2022) · Advances in Space Research · doi:10.1016/j.asr.2022.07.060 · Cited by 9

Active learning for optimum experimental design—insight into perovskite oxides

Lourenço, M. P., Tchagang, A., Shankar, K., Thangadurai, V., & Salahub, D. R. (2023) · Canadian Journal of Chemistry · doi:10.1139/cjc-2022-0198 · Cited by 10

Retrieval of source parameters of an event of the 2000 West Bohemia earthquake swarm assuming an anisotropic crust

Rößler, D., Krüger, F., Pšenčı́k, I., & Rümpker, G. (2008) · Studia Geophysica et Geodaetica · doi:10.1007/s11200-008-0021-3 · Cited by 9

Vertical profile of cloud amount over Poland: Variability and uncertainty based on CloudSat–CALIPSO observations

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To Correct or Not Correct? Actual Evidence, Controversy and the Questions That Remain Open

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A new approach to estimation of the proportional hazards model based on interval-censored data with missing covariates

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Tissue Doppler of Early Mitral Filling Correlates With Simulated Volume Loss in Healthy Subjects

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Nonparametric standard errors and confidence intervals

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The Bootstrap and the Jackknife

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A leisurely look at the bootstrap, the jackknife

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The jackknife, thebootstrap and othernonparametric methods

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An Introduction to the Bootstrap

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