Bickel, P. J., Götze, F., & vanZwet, W. R. (1997). Resampling fewer than n observations: Gains, losses, and remedies for losses. *STATISTICA SINICA*, *7*(1), 1-31.

","ama":"Bickel PJ, Götze F, vanZwet WR. Resampling fewer than n observations: Gains, losses, and remedies for losses. Bickel, P.J., Götze, F. & vanZwet, W.R. (1997). Resampling fewer than n observations: Gains, losses, and remedies for losses. *STATISTICA SINICA*, *7*(1), 1-31. STATISTICA SINICA.

","angewandte-chemie":"P. J. Bickel, F. Götze, and W. R. vanZwet, “Resampling fewer than n observations: Gains, losses, and remedies for losses”, Bickel, PJ, Götze, Friedrich, and vanZwet, WR. 1997. “Resampling fewer than n observations: Gains, losses, and remedies for losses”. *STATISTICA SINICA* 7 (1): 1-31.

","ieee":" P.J. Bickel, F. Götze, and W.R. vanZwet, “Resampling fewer than n observations: Gains, losses, and remedies for losses”, Resampling fewer than n observations: Gains, losses, and remedies for losses.

STATISTICA SINICA 7(1): 1-31.","lncs":" Bickel, P.J., Götze, F., vanZwet, W.R.: Resampling fewer than n observations: Gains, losses, and remedies for losses. STATISTICA SINICA. 7, 1-31 (1997)."},"status":"public","keyword":["bootstrap","asymptotic","nonparametric","parametric","testing"],"language":[{"iso":"eng"}],"publication_identifier":{"issn":["1017-0405"]},"external_id":{"isi":["A1997WF57100001"]},"quality_controlled":"1","user_id":"89573","date_updated":"2019-05-13T11:03:39Z","author":[{"first_name":"PJ","full_name":"Bickel, PJ","last_name":"Bickel"},{"id":"10518","last_name":"Götze","full_name":"Götze, Friedrich","first_name":"Friedrich"},{"first_name":"WR","last_name":"vanZwet","full_name":"vanZwet, WR"}],"intvolume":" 7","date_created":"2010-04-28T13:23:20Z","publication_status":"published","article_type":"original","issue":"1","publisher":"STATISTICA SINICA","page":"1-31","title":"Resampling fewer than n observations: Gains, losses, and remedies for losses","publication":"STATISTICA SINICA","isi":1,"type":"journal_article","abstract":[{"lang":"eng","text":"We discuss a number of resampling schemes in which m = o(n) observations are resampled. We review nonparametric bootstrap failure and give results old and new on how the m out of n with replacement and without replacement bootstraps work. We extend work of Bickel and Yahav (1988) to show that m out of n bootstraps can be made second order correct, if the usual nonparametric bootstrap is correct and study how these extrapolation techniques work when the nonparametric bootstrap does not."}],"year":"1997","_id":"1628025"}]