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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 ...
Distributed average tracking for multiple signals with linear dynamics: An edge-based framework
Hamburger moment problem for powers and products of random variables
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 ...
Antenna competition to boost Active Interference Cancellation in cognitive MIMO-OFDM
OPRA Capacity Bounds for Selection Diversity over Generalized Fading Channels
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 ...
Estimation of Inequality Indices Based on Ranked Set Sampling
Measuring the income inequality is a major concern of the economists.
Therefore, numerous indices have been devised to show different features of the income inequality. In general, the simple random sampling