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Simple and accurate one‐sided inference from signed roots of likelihood ratios
Author(s) -
Diciccio Thomas J.,
Martin Michael A.,
Stern Steven E.
Publication year - 2001
Publication title -
canadian journal of statistics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.804
H-Index - 51
eISSN - 1708-945X
pISSN - 0319-5724
DOI - 10.2307/3316051
Subject(s) - statistic , simple (philosophy) , inference , mathematics , statistics , nuisance parameter , scalar (mathematics) , null hypothesis , statistical hypothesis testing , statistical inference , computer science , algorithm , estimator , artificial intelligence , philosophy , geometry , epistemology
The authors propose two methods based on the signed root of the likelihood ratio statistic for one‐sided testing of a simple null hypothesis about a scalar parameter in the présence of nuisance parameters. Both methods are third‐order accurate and utilise simulation to avoid the need for onerous analytical calculations characteristic of competing saddlepoint procedures. Moreover, the new methods do not require specification of ancillary statistics. The methods respect the conditioning associated with similar tests up to an error of third order, and conditioning on ancillary statistics to an error of second order.