Discrete Versions of Jensen–Fisher, Fisher and Bayes–Fisher Information Measures of Finite Mixture Distributions
نویسندگان
چکیده
منابع مشابه
Generalized information-entropy measures and Fisher information
We show how Fisher’s information already known particular character as the fundamental information geometric object which plays the role of a metric tensor for a statistical differential manifold, can be derived in a relatively easy manner through the direct application of a generalized logarithm and exponential formalism to generalized information-entropy measures. We shall first shortly descr...
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Standard inference procedures assume a random sample from a population with density fθ(x) for estimating the parameter θ. However, there are many applications in which the available data are a biased sample instead. Fisher modeled biased sampling using a weight function w(x) ≥ 0, and constructed a weighted distribution with a density f θ (x) that is proportional to w(x)fθ(x). In this paper, we ...
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the fisher information matrix for a mixture of two pareto distributions is derived. numericaltabulations of the matrix are also provided for practical purposes. the work is motivated by a real-lifeexample.
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ژورنال
عنوان ژورنال: Entropy
سال: 2021
ISSN: 1099-4300
DOI: 10.3390/e23030363