Bias Reduction Via Resampling for Estimation Following Sequential Tests

It is well known that maximum likelihood (ML) estimation results in biased estimates when estimating parameters following a sequential test. Existing bias correction methods rely on explicit calculations of the bias that are often difficult to derive. We suggest a simple alternative to the existing...

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Main Authors: Wang, Y. G., Leung, Denis H. Y.
格式: text
語言:English
出版: Institutional Knowledge at Singapore Management University 1997
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在線閱讀:https://ink.library.smu.edu.sg/soe_research/365
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