A unifying framework for some directed distances in statistics
M Broniatowski, W Stummer - Handbook of Statistics, 2022 - Elsevier
Density-based directed distances—particularly known as divergences—between probability
distributions are widely used in statistics as well as in the adjacent research fields of …
distributions are widely used in statistics as well as in the adjacent research fields of …
Relationships between tail entropies and local intrinsic dimensionality and their use for estimation and feature representation
The local intrinsic dimensionality (LID) model assesses the complexity of data within the
vicinity of a query point, through the growth rate of the probability measure within an …
vicinity of a query point, through the growth rate of the probability measure within an …
[HTML][HTML] Sensitivity of Survival Analysis Metrics
Survival analysis models allow for predicting the probability of an event over time. The
specificity of the survival analysis data includes the distribution of events over time and the …
specificity of the survival analysis data includes the distribution of events over time and the …
Kullback-Leibler divergence for the Fr\'echet extreme-value distribution
JC Pain - arXiv preprint arXiv:2303.13153, 2023 - arxiv.org
arXiv:2303.13153v2 [math.ST] 27 Mar 2023 Kullback-Leibler divergence for the Fréchet
extreme-value distribution Page 1 arXiv:2303.13153v2 [math.ST] 27 Mar 2023 Kullback-Leibler …
extreme-value distribution Page 1 arXiv:2303.13153v2 [math.ST] 27 Mar 2023 Kullback-Leibler …
Keyfitz entropy: investigating some mathematical properties and its application for estimating survival function in life table
R Rezaei, G Yari - Mathematical Sciences, 2021 - Springer
Keyfitz entropy index is a new indicator that measures the sensitivity of life expectancy to a
change in mortality rate. Understanding the characteristics of this indicator can significantly …
change in mortality rate. Understanding the characteristics of this indicator can significantly …
A Comparative study of various methods of estimation for Gompertz-Lindley distribution
F Almathkour, A Alothman, ME Ghitany… - International Journal of …, 2022 - diogenes.bg
This paper deals with a comparative study of different methods of estimation for Gompertz-
Lindley distribution. Simulation studies are carried out and the most efficient estimator is the …
Lindley distribution. Simulation studies are carried out and the most efficient estimator is the …
[PDF][PDF] Diagnosis of failure modes from bearing data via deep learning variational autoencoder method
Bearings are indispensable equipment in complex machinery. Many studies developed
analyses to improve the effectiveness of predictive maintenance for these components …
analyses to improve the effectiveness of predictive maintenance for these components …
A comparative study of traditional and Kullback-Leibler divergence of survival functions estimators for the parameter of Lindley distribution
A new point estimation method based on Kullback-Leibler divergence of survival functions
(KLS), measuring the distance between an empirical and prescribed survival functions, has …
(KLS), measuring the distance between an empirical and prescribed survival functions, has …
[PDF][PDF] Dynamic reliability evaluation for a multi-state component under stress-strength model
S Calık - 2017 - researchgate.net
For many technical systems, stress-strength models are of special importance. Stress-
strength models can be described as an assessment of the reliability of the component in …
strength models can be described as an assessment of the reliability of the component in …
Parameter Estimation Based on Cumulative Kullback–Leibler Divergence
In this paper, we propose some estimators for the parameters of a statistical model based on
Kullback–Leibler divergence of the survival function in continuous setting and apply it to type …
Kullback–Leibler divergence of the survival function in continuous setting and apply it to type …