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Likelihood Methods for Controlled Calibration
Author(s) -
Bellio Ruggero
Publication year - 2003
Publication title -
scandinavian journal of statistics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.359
H-Index - 65
eISSN - 1467-9469
pISSN - 0303-6898
DOI - 10.1111/1467-9469.00334
Subject(s) - calibration , mathematics , maximum likelihood , simple (philosophy) , process (computing) , statistics , econometrics , computer science , philosophy , epistemology , operating system
Abstract. This paper presents the use of likelihood‐based methods for controlled calibration. Recent results on higher‐order asymptotics are exploited to obtain confidence regions for the output of the calibration process. A general likelihood‐based approach is presented, and several types of calibration problems are tackled within this framework. The methods provide simple and accurate solutions which may have some potential usefulness for applications. The results are illustrated with reference to widely used models.