Monte Carlo Methods For Confidence Interval Estimation Using The Bootstrap Technique
作者:
Stephe T. Buckland,
期刊:
Journal of Applied Statistics
(Taylor Available online 1983)
卷期:
Volume 10,
issue 2
页码: 194-212
ISSN:0266-4763
年代: 1983
DOI:10.1080/02664768300000017
出版商: Sheffield City Polytechnic
数据来源: Taylor
摘要:
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 distribution that can be simulated. Potential fields of application include ratio estimation, compound distribution and estimation of probabilities.
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