Pages that link to "Item:Q3313118"
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The following pages link to Robust statistics for testing mean vectors of multivariate distributions (Q3313118):
Displaying 21 items.
- A robust Hotelling test (Q811787) (← links)
- Parametric robust test for several variances with unknown underlying distributions (Q862360) (← links)
- Modified maximum likelihood method for the robust estimation of system parameters from very noisy data (Q1074551) (← links)
- Robust classification procedures based on dichotomous and continuous variables (Q1262657) (← links)
- Robust<i>I</i>-sample analysis of means type randomization tests for variances (Q2746358) (← links)
- Goodness-of-Fit Tests for Multivariate Distributions (Q3424161) (← links)
- Modified maximum likelihood estimators for the bivariate normal based on type ii censored samples (Q3473230) (← links)
- Generalization of the robust bivariate t<sup>2</sup>statistic to multivariate populations (Q3473231) (← links)
- Robust multivariate classification procedures based on the mml estimators (Q3690027) (← links)
- Testing the equality of variance-covariance matrices the robust way (Q3716081) (← links)
- Robust hotelling-type T<sup>2</sup>statistics based on the modified maximum likelihood estimators (Q3793544) (← links)
- Robust Hotelling-TypeT2 Statistics (Q3798049) (← links)
- Robust tests for equality of two population means under the normal model (Q4387664) (← links)
- ROBUST TESTS FOR THE SIGNIFICANCE OF ORTHANT RESTRICTED MEAN VECTOR (Q4540688) (← links)
- Robust analogs of hotelling's two-sample t<sup>2</sup> (Q4541685) (← links)
- A NEW ROBUST BIVARIATE CONTROL CHART FOR LOCATION (Q4787597) (← links)
- Testing equality of the means in two independent multivariatet distributions (Q4843721) (← links)
- Multiple linear regression model with stochastic design variables (Q5123588) (← links)
- Mahalanobis distance under non-normality (Q5400848) (← links)
- Power Function Studies (Q5750172) (← links)
- Trimmed \(\tilde T^2\): A robust analog of Hotelling's \(T^2\) (Q5945263) (← links)