On the maximum likelihood classification rule for incomplete multivariate samples and its admissibility
نویسندگان
چکیده
منابع مشابه
Maximum likelihood multivariate calibration.
Two new approaches to multivariate calibration are described that, for the first time, allow information on measurement uncertainties to be included in the calibration process in a statistically meaningful way. The new methods, referred to as maximum likelihood principal components regression (MLPCR) and maximum likelihood latent root regression (MLLRR), are based on principles of maximum likel...
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ژورنال
عنوان ژورنال: Journal of Multivariate Analysis
سال: 1972
ISSN: 0047-259X
DOI: 10.1016/0047-259x(72)90013-9