TY - JOUR
T1 - Monte carlo methods for confidence interval estimation using the bootstrap technique
AU - Buckland, Stephen T.
PY - 1983/1/1
Y1 - 1983/1/1
N2 - An extension of Monte Carlo methods to confidence interval estimation, using the bootstrap technique, is investigated. The approach may have considerable potential for parameters that have estimators with complicated analytic properties but with probability distributions that can be simulated. Potential fields of application include ratio estimation, compound distributions and estimation of probabilities.
AB - An extension of Monte Carlo methods to confidence interval estimation, using the bootstrap technique, is investigated. The approach may have considerable potential for parameters that have estimators with complicated analytic properties but with probability distributions that can be simulated. Potential fields of application include ratio estimation, compound distributions and estimation of probabilities.
UR - http://www.scopus.com/inward/record.url?scp=0344481104&partnerID=8YFLogxK
U2 - 10.1080/02664768300000017
DO - 10.1080/02664768300000017
M3 - Article
AN - SCOPUS:0344481104
SN - 0266-4763
VL - 10
SP - 194
EP - 212
JO - Journal of Applied Statistics
JF - Journal of Applied Statistics
IS - 2
ER -