• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 30 matches

• 2020
• 
  Angelo Moretti, Natalie Shlomo, Joseph W. Sakshaug:
  Parametric bootstrap mean squared error of a small area multivariate EBLUP. Commun. Stat. Simul. Comput. 49(6): 1474-1486 (2020)
• 
  Mark Burgess:
  Testing the Quantitative Spacetime Hypothesis using Artificial Narrative Comprehension (I) : Bootstrapping Meaning from Episodic Narrative viewed as a Feature Landscape. CoRR abs/2010.08126 (2020)
• 2019
• 
  Jiaqing Xu, Cheng Peng:
  Parametric bootstrap process capability index control charts for both mean and dispersion. Commun. Stat. Simul. Comput. 48(10): 2936-2954 (2019)
• 
  Xuan Gu, Anders Eklund, Evren Özarslan, Hans Knutsson:
  Using the Wild Bootstrap to Quantify Uncertainty in Mean Apparent Propagator MRI. Frontiers Neuroinformatics 13: 43 (2019)
• 2018
• 
  Barbora Pestová, Michal Pesta:
  Abrupt change in mean using block bootstrap and avoiding variance estimation. Comput. Stat. 33(1): 413-441 (2018)
• 2017
• 
  Abouzar Bazyari:
  Bootstrap approach to test the homogeneity of order restricted mean vectors when the covariance matrices are unknown. Commun. Stat. Simul. Comput. 46(9): 7194-7209 (2017)
• 
  Leif Ellingson, David Groisser, Daniel E. Osborne, Vic Patrangenaru, Armin Schwartzman:
  Nonparametric bootstrap of sample means of positive-definite matrices with an application to diffusion-tensor-imaging data analysis. Commun. Stat. Simul. Comput. 46(6): 4851-4879 (2017)
• 
  Giampiero Salvi, Luis Montesano, Alexandre Bernardino, José Santos-Victor:
  Language Bootstrapping: Learning Word Meanings From Perception-Action Association. CoRR abs/1711.09714 (2017)
• 2015
• 
  Joeri Hofmans, Eva Ceulemans, Douglas L. Steinley, Iven Van Mechelen:
  On the Added Value of Bootstrap Analysis for K-Means Clustering. J. Classif. 32(2): 268-284 (2015)
• 
  Sebastián Castaño-Candamil, Andreas Meinel, Sven Dähne, Michael Tangermann:
  Probing meaningfulness of oscillatory EEG components with bootstrapping, label noise and reduced training sets. EMBC 2015: 5159-5162
• 2014
• 
  Christine Choirat, Raffaello Seri:
  Bootstrap confidence sets for the Aumann mean of a random closed set. Comput. Stat. Data Anal. 71: 803-817 (2014)
• 
  S. M. Sadooghi-Alvandi, Ahad Malekzadeh:
  Simultaneous confidence intervals for ratios of means of several lognormal distributions: A parametric bootstrap approach. Comput. Stat. Data Anal. 69: 133-140 (2014)
• 
  Jungkyu Han, Min Luo:
  Bootstrapping K-means for big data analysis. BigData 2014: 591-596
• 2013
• 
  Joanna Kisielinska:
  The exact bootstrap method shown on the example of the mean and variance estimation. Comput. Stat. 28(3): 1061-1077 (2013)
• 2012
• 
  Stefano Marchetti, Nikos Tzavidis, Monica Pratesi:
  Non-parametric bootstrap mean squared error estimation for M-quantile estimators of small area averages, quantiles and poverty indicators. Comput. Stat. Data Anal. 56(10): 2889-2902 (2012)
• 
  Alejandro F. Rodríguez, Esther Ruiz:
  Bootstrap prediction mean squared errors of unobserved states based on the Kalman filter with estimated parameters. Comput. Stat. Data Anal. 56(1): 62-74 (2012)
• 
  Dimitrios Mavroeidis, Panagis Magdalinos:
  A Sequential Sampling Framework for Spectral k-Means Based on Efficient Bootstrap Accuracy Estimations: Application to Distributed Clustering. ACM Trans. Knowl. Discov. Data 6(2): 5:1-5:37 (2012)
• 
  Giampiero Salvi, Luis Montesano, Alexandre Bernardino, José Santos-Victor:
  Language Bootstrapping: Learning Word Meanings From Perception-Action Association. IEEE Trans. Syst. Man Cybern. Part B 42(3): 660-671 (2012)
• 2011
• 
  Ching-Hui Chang, Jyh-Jiuan Lin, Nabendu Pal:
  Testing the equality of several gamma means: a parametric bootstrap method with applications. Comput. Stat. 26(1): 55-76 (2011)
• 2010
• 
  Ching-Hui Chang, Nabendu Pal, Wooi Khai Lim, Jyh-Jiuan Lin:
  Comparing several population means: a parametric bootstrap method, and its comparison with usual ANOVA F test as well as ANOM. Comput. Stat. 25(1): 71-95 (2010)
• 2009
• 
  Chang-Xing Ma, Lili Tian:
  A Parametric Bootstrap Approach for Testing Equality of Inverse Gaussian Means Under Heterogeneity. Commun. Stat. Simul. Comput. 38(6): 1153-1160 (2009)
• 
  Cherylyn Almonte, B. M. Golam Kibria:
  On some classical, bootstrap and transformation confidence intervals for estimating the mean of an asymmetrical population. Model. Assist. Stat. Appl. 4(2): 91-104 (2009)
• 2008
• 
  Wen-Liang Hung, Miin-Shen Yang, De-Hua Chen:
  Bootstrapping approach to feature-weight selection in fuzzy c-means algorithms with an application in color image segmentation. Pattern Recognit. Lett. 29(9): 1317-1325 (2008)
• 2006
• 
  Yunn-Kuang Chu, Jau-Chuan Ke:
  Confidence intervals of mean response time for an M/G/1 queueing system: Bootstrap simulation. Appl. Math. Comput. 180(1): 255-263 (2006)
• 
  María Angeles Gil, Manuel Montenegro, Gil González-Rodríguez, Ana Colubi, María Rosa Casals:
  Bootstrap approach to the multi-sample test of means with imprecise data. Comput. Stat. Data Anal. 51(1): 148-162 (2006)
• 
  Paolo Bouquet, Luciano Serafini, Stefano Zanobini, Simone Sceffer:
  Bootstrapping semantics on the web: meaning elicitation from schemas. WWW 2006: 505-512
• 2005
• 
  A. Muñoz-Reyes, J. L. Moreno-Rebollo, María-Dolores Jiménez-Gamero, Joaquín Muñoz-García:
  An efficient shrinkage bootstrap bias estimator for smooth functions of sample means. Comput. Stat. 20(1): 105-118 (2005)
• 
  Manuel Montenegro, Gil González-Rodríguez, Ana Colubi, María Angeles Gil:
  Bootstrap Techniques: A Valuable Tool in Statistical Hypothesis Testing about the Means of Fuzzy Random Variables. EUSFLAT Conf. 2005: 599-604
• 2000
• 
  Sándor Csörgo, Wei Biao Wu:
  Random Graphs And The Strong Convergence Of Bootstrap Means. Comb. Probab. Comput. 9(4): 315-347 (2000)
• 
  Dominic Lee, Carey E. Priebe:
  Exact mean and mean squared error of the smoothed bootstrap mean integrated squared error estimator. Comput. Stat. 15(2): 169-181 (2000)