Precision, Statistics
978-613-2-95518-0
6132955186
116
2010-10-21
39.00 €
eng
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In statistics, the term precision can mean a quantity defined in a specific way. This is in addition to its more general meaning in the contexts of accuracy and precision and of precision and recall. "Precision" is used in relation to a single quantity, while precision matrix or concentration matrix, are used in relation to several quantities. There can be differences in usage of the term for particular statistical models but, in general statistical usage, the precision is defined to be the reciprocal of the variance, while the precision matrix is the matrix inverse of the covariance matrix. One particular use of the precision matrix is in the context of Bayesian analysis of the multivariate normal distribution: for example, Bernardo & Smith prefer to parameterise the multivariate normal distribution in terms of the precision matrix rather than the covariance matrix because of certain simplifications that then arise.
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