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RISSeismic signal processing: Some recent advances
Integrated IT system for security of large objects
Finding the optimized lower bound for the variance of unbiased estimators in some well-known families of distributions
One of the most fundamental things in estimation theory about accuracy of an unbiased estimator is computing or approximating its variance. Most of the time, the variance has complicated form or cannot be computed. In this ...
Decreasing Cramer–Rao lower bound by preprocessing steps
In this paper, having reviewed necessary preliminaries, including sparsity, Tsallis entropy, diversity, preprocessing, fisher
information, and Cramer–Rao bound, we analyze the impact of preprocessing a signal on the signal sparsity related to...
Bhattacharrya and Kshirsagar Lower Boundsfor the Natural Exponential Family (NEF(
cases, however, it is difficult to calculate the variance because of its complicated form. In such cases one can use a lower bound of the variance as approximation. The best known lower bounds for unbiased estimators are the Cramér–Rao bound (by Rao...
Comparative study of Bhattacharyya and Kshirsagabounds in Burr XII and Burr III distributionsr
A set of families of distributions which might be useful for fitting data was described by Burr (1942). Among them, the families type XII (Burr XII) and type III (Burr III), have gathered special attention in physics, ...