Ch Rajasekhar Rao

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Two objects with homologous landmarks are said to be of the same shape if the configurations of landmarks of one object can be exactly matched with that of the other by translation, rotation/reflection, and scaling. The observations on an object are coordinates of its landmarks with reference to a set of orthogonal coordinate axes in an appropriate(More)
Two objects with homologous landmarks are said to be of the same shape if the configuration of landmarks of one object can be exactly matched with that of the other by translation, rotation/reflection, and scaling. In an earlier paper, the authors proposed statistical analysis of shape by considering logarithmic differences of all possible Euclidean(More)
We consider the problem of model (or variable) selection in the classical regression model using the GIC (general information criterion). In this method the maximum likelihood is used with a penalty function denoted by Cn, depending on the sample size n and chosen to ensure consistency in the selection of the true model. There are various choices of Cn(More)
The problem of simultaneous estimation of the number of signals and frequencies of multiple sinusoids is considered in the case when some observations are missing. The number of signals is estimated with an information theoretic criterion, and the frequencies are estimated with eigenvariation linear prediction. The strong consistency of the estimates of the(More)
The transfer function H(f) can be calculated from the matrix operation of frequency transformation and the " Pascal matrix " transformation. Here the proposed method is a fractional technique which is used to obtain low pass filter and high pass filter transfer function from another function by the above said method, to it fractional z is introduced. The(More)
pioneer of the mathematical foundations of bootstrap resampling. Abstract The main focus of this article is to carefully examine the information content of resampling techniques in bootstrap from a survey sampling point of view. Given an observed sample of size n, resampling for bootstrap involves n repeated trials of simple random sampling with replacement(More)
A maximum likelihood approach to emission image reconstruction from projections. Maximum likelihood from incomplete data via the EM algorithm. " A theoretical study of some maximum likelihood algorithms for emission and transmission tomography. Attenuation compensation of cone beam SPECT images using maximum likelihood reconstruction. Three-dimensional(More)
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