Adjusted Confidence Intervals for a Bounded Parameter

Bounded Length Confidence Intervals for Finite Populations

SUMMARY Consider an urn which has N K balls, of which M K are white and labeled by numbers. The first part of this paper deals with sequential bounded length confidence intervals for the mean value of the white balls. The stopping rules are similar to those of Chow and Robbins (1965), but since almost sure convergence is ruled out, the observations are dependent, and M K , N K may not be known,...

[Setting Confidence Intervals for Bounded Parameters]: Comment

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Parameter estimation without confidence intervals?

We greatly appreciate the comments contributed by one of the peer reviewers. Apparently, his comments have clearly sorted out the limitations our article involves. We recognize all the limitations and still, we believe the Diagnosis Procedure Combination (DPC) system in Japan is worth being aware of as a novel medical database in Asia. As for the first point, the DPC database only involves 65.1...

Parameter estimation without confidence intervals?

Fukuhara and Hori’s article [1] reported the possibility of calculating the incidence of spontaneous intracerebral hemorrhage (sICH) using publicly accessible data in Japan. If the method were valid and satisfied statistical assumptions, overcoming the limitation of the source of the data, known as Diagnosis Procedure Combination (DPC) data, this suggestion could be an innovative method. Becaus...

Confidence Intervals for the Binomial Parameter