Robust high dimensional M-test using regularized geometric median covariance
The original M-test used for testing equality of several independent samples covariance matrices is developed based on likelihood ratio test under assumption of multivariate normality distribution, is sensitive to presence of outliers in the data. The test is fast achieving significant distinction i...
| मुख्य लेखक: | Kehinde, Alo Olusegun |
|---|---|
| स्वरूप: | थीसिस |
| भाषा: | अंग्रेज़ी |
| प्रकाशित: |
2018
|
| विषय: | |
| ऑनलाइन पहुंच: | https://etd.uum.edu.my/8528/1/s96163_01.pdf |
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समान संसाधन
-
Robust high dimensional m-test using regularized geometric median covariance
द्वारा: Kehinde, Alo Olusegun
प्रकाशित: (2018) -
A Robust high dimensional correlation matrices statistic for covariance singularity with outlier
द्वारा: Bahtiar Jamili, Zaini
प्रकाशित: (2025) -
The Revised M-OF-K Runs Rules Based On Median Run Length
द्वारा: Low, , Chun Kit.
प्रकाशित: (2011) -
The Revised M-Of -K Runs Rules Based On Median Run Length
द्वारा: Low , Chun Kit
प्रकाशित: (2011) -
Modifying maximum likelihood test for solving singularity and outlier problems in high dimensional cases
द्वारा: Hafeez, Ahmad
प्रकाशित: (2021)