Interval estimation using the folded logarithmic transformation

Autor:	Lawrence L. Kupper, Hoi M. Leung
Rok vydání:	1981
Předmět:	Statistics and Probability Statistics Interval estimation Credible interval Prediction interval Estimator Interval (graph theory) Tolerance interval Maximum likelihood sequence estimation Confidence interval Mathematics
Zdroj:	Communications in Statistics - Theory and Methods. 10:997-1015
ISSN:	1532-415X 0361-0926
DOI:	10.1080/03610928108828090
Popis:	Confidence interval estimation using the folded logarithmic (FL) transformation of maximum likelihood (ML) estimators is considered. The FL-based interval is found to have a smallerwidth and a larger confidence coefficient than the ML-based interval in most cases. Also, any a priori knowledge concerning the parameter values can be utilized to improve the precision of the FL-based interval. Computer simulation studies involving certain epidemiologic indices further emphasize the desirability of using the FL-based interval.
Databáze:	OpenAIRE
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