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A view on Bhattacharyya bounds for inverse Gaussian distributions
-diagonal elements. In addition, we calculate
the 5×5 Bhattacharyya matrix for inverse Gaussian distribution and evaluated different
Bhattacharyya bounds for the variance of estimator of the failure rate, coefficient of
variation, mode and moment...
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 ...
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, ...
LOWER BOUNDS FOR THE VARIANCE OF UNBIASED ESTIMATORS IN GENERALIZED BETA DISTRIBUTION OF THESECOND KIND (GB2)
In order to give an excellent description of income distributions, although a large number of functional forms have been proposed, but the four-parameter generalized beta model of the second kind (GB2), introduced by J. ...
Bhattacharyya and Kshirsagar Bounds in Generalized Gamma Distribution
The generalized gamma (GG) distribution, which was described for the first time by
Stacy (1962), is a popular distribution in many areas such as reliability, modeling data,
actuarial studies, and applied ...
Comparison of Lower Bounds for the Variance of Unbiased Estimators for some Well-known Families of Distributions
One of the most fundamental issues in estimation theory about accuracy of an unbiased estimator
is computing or approximating its variance. Very often, the variance has a complicated form or cannot be
computed ...
Comparative study of Bhattacharyya and Kshirsagar bounds with Bootstrapping
One of the main branches of statistical inference is estimation the-
ory which introduce different estimators of unknown parameters and verify
various properties of estimators such as unbiasedness, consistency, ...