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Citation - WoS: 4
Citation - Scopus: 6
Mahalanobis Distance Under Non-Normality
(Taylor & Francis Ltd, 2010) Tiku, Moti L.; Islam, M. Qamarul; Qumsiyeh, Sahar B.
We give a novel estimator of Mahalanobis distance D2 between two non-normal populations. We show that it is enormously more efficient and robust than the traditional estimator based on least squares estimators. We give a test statistic for testing that D2=0 and study its power and robustness properties.
Citation - WoS: 13
Citation - Scopus: 13
Multiple Linear Regression Model With Stochastic Design Variables
(Taylor & Francis Ltd, 2010) Islam, M. Qamarul; Tiku, Moti L.
In a simple multiple linear regression model, the design variables have traditionally been assumed to be non-stochastic. In numerous real-life situations, however, they are stochastic and non-normal. Estimators of parameters applicable to such situations are developed. It is shown that these estimators are efficient and robust. A real-life example is given.

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