Modifying maximum likelihood test for solving singularity and outlier problems in high dimensional cases

The maximum likelihood (ML) test in the structural covariance analysis is an effective tool in statistical analysis of multivariate test. However, the performance of the classical location and scatter estimators is usually flawed by singularity and outliers’ problems in high dimensional data sets....

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Bibliographic Details
Main Author: Hafeez, Ahmad
Format: Thesis
Published: 2021
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