The empirical likelihood function, introduced by Owen (1988,1990), is a good statistical tool for testing hypotheses and constructing confidence regions in a nonparametric approach. In this paper, we give a formal justification for using this tool to construct confidence intervals when the parameter of interest is the difference between the means of two populations.
Intervalli di confidenza per la differenza tra le medie basati sulla verosimiglianza empirica
ADIMARI, GIANFRANCO
1995
Abstract
The empirical likelihood function, introduced by Owen (1988,1990), is a good statistical tool for testing hypotheses and constructing confidence regions in a nonparametric approach. In this paper, we give a formal justification for using this tool to construct confidence intervals when the parameter of interest is the difference between the means of two populations.
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