Exclusive Content & Downloads from ASQ
The Method of Normalized Correlations
Summary: [This abstract is based on the authors' abstract.] The method of normalized correlations (MoNC) is used on the inference of covariance parameters from spatial or temporal data. The method is compared with maximum likelihood estimation and weighted least squares on both simulated and real data. MoNC was shown to be significantly faster and insensitive to sample size for regularly spaced data, making it potentially useful for calculations involving large data sets and fast preconditioning.
Other Ways to Access content:
- Topics: Design of Experiments
- Keywords: Problem solving, Maximum likelihood estimate (MLE), Optimization, Parameter design, Random variables, Least squares
- Author: Zukovic, Milan; Hristopulos, Dionissios T.
- Journal: Technometrics