Fisher Information in Flow Size Distribution Estimation

Fisher Information in Flow Size Distribution

key computational costs to show that router implementation is feasible. Our approach offers insights into numerous issues, including the notion of 'flow quality' for understanding the relative performance of methods, and how and when employing sequence numbers is beneficial. Our work is theoretical with some simulation support and case studies on Internet data. I. INTRODUCTION The distribution ...

Optimal sample size and censoring scheme in progressively type II censoring based on Fisher information for the Pareto distribution

One of the most common censoring methods is the progressive type-II censoring. In this method of censoring, a total of $n$ units are placed on the test, and at the time of failure of each unit, some of the remaining units are randomly removed. This will continue to record $m$ failure times, where $m$ is a pre-determined value, and then the experiment ends. The problem of determining the optimal...

asymptotic fisher information in order statistics of geometric distribution

in this paper, the geometric distribution is considered. the means, variances, and covariances of its order statistics are derived. the fisher information in any set of order statistics in any distribution can be represented as a sum of fisher information in at most two order statistics. it is shown that, for the geometric distribution, it can be further simplified to a sum of fisher informatio...

Husimi Distribution and the Fisher Information

2 Estimation and Fisher information : elementary considerations

Having explored the definitions associated with exponential families and their robustness properties, we now turn to a study of somewhat more general parameterized distributions, developing connections between divergence measures and other geometric ideas such as the Fisher information. After this, we illustrate a few consequences of Fisher information for optimal estimators, which gives a smal...