M. Rauf Ahmad

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In this paper, the multilinear normal distribution is introduced as an extension of the matrix-variate normal distribution. Basic properties such as marginal and conditional distributions, moments, and the characteristic function, are also presented. The estimation of parameters using a flip-flop algorithm is also briefly discussed.
Test statistics for sphericity and identity of the covariance matrix are presented, when the data are multivariate normal and the dimension, p, can exceed the sample size, n. The test statistics are shown to follow an approximate normal distribution for large p, also when p >> n. The statistics are derived under very general conditions, particularly(More)
A note on mean testing for high dimensional multivariate data under non-normality, 2013, Statistica neerlandica (Print), (67), 1, 81-99. Abstract A test statistic is considered for testing a hypothesis for the mean vector for multivariate data, when the dimension of the vector, p, may exceed the number of vectors, n, and the underlying distribution need not(More)
This paper presents the design, modeling and analysis of a new type of electrode structure for the electrets-based energy harvester. A trapezoidal shape of electrodes structure interleaving with one another placed side by side while the electrets layer is placed on the opposite side of the electrodes, are designed, modeled and analyzed to assess its(More)
Microstrip antennas has a few feeding technique applicable to them. One of them is the non-contacting feeds, which is the aperture-coupled feed techniques. The main mechanism of power transfer between its feed line and patch is the coupling mechanism through the aperture. This work is an effort to design, simulate, fabricate and measurement of passive and(More)
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