Modeling biometric systems using the general pareto distribution (GPD)

2008 ◽  
Author(s):  
Zhixin Shi ◽  
Frederick Kiefer ◽  
John Schneider ◽  
Venu Govindaraju
Keyword(s):  
Pareto Distribution ◽  
Biometric Systems ◽  
General Pareto Distribution

scholarly journals A Monte Carlo simulation of multivariate general Pareto distribution and its application

2014 ◽  
Vol 11 (6) ◽  
pp. 2733-2753 ◽  
Author(s):  
L. Yao ◽  
W. Dongxiao ◽  
Z. Zhenwei ◽  
H. Weihong ◽  
S. Hui
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Pareto Distribution ◽  
Joint Probability ◽  
Simulation Method ◽  
Value Theory ◽  
Extreme Value ◽  
Marine Environmental ◽  
General Pareto Distribution ◽  
Hydrological Station

Abstract. This paper presents a multivariate general Pareto distribution (MGPD) method and builds a method for solving MGPD through the use of a Monte Carlo simulation for marine environmental extreme-value parameters. The simulation method has proven to be feasible in the analysis of the joint probability of wave height and its concomitant wind from a hydrological station in the South China Sea (SCS). The MGPD is the natural distribution of the multivariate peaks-over-threshold (MPOT) sampling method, and is based on the extreme-value theory. The existing dependence functions can be used in the MGPD, so it may describe more variables which have different dependence relationships. The MGPD method improves the efficiency of the extremes in raw data. For the wave and the concomitant wind from a period of 23 years (1960–1982), the number of the wave and wind selected is averaged to 19 per year. For the joint conditional probability of the MGPD, the relative error is rather small in the Monte Carlo simulation method.

Analysis of power law assumptions for short-period comets and Kuiper bodies

1999 ◽  
Vol 173 ◽  
pp. 289-293 ◽  
Author(s):  
J.R. Donnison ◽  
L.I. Pettit
Keyword(s):  
Power Law ◽  
Pareto Distribution ◽  
Limited Data ◽  
Short Period ◽  
Probability Plots ◽  
Exponential Probability

AbstractA Pareto distribution was used to model the magnitude data for short-period comets up to 1988. It was found using exponential probability plots that the brightness did not vary with period and that the cut-off point previously adopted can be supported statistically. Examination of the diameters of Trans-Neptunian bodies showed that a power law does not adequately fit the limited data available.

Human Ear Pattern Recognition System

2017 ◽  
Vol 7 (8) ◽  
pp. 117 ◽  
Author(s):  
V. Jagan Naveen ◽  
K. Krishna Kishore ◽  
P. Rajesh Kumar
Keyword(s):  
Pattern Recognition ◽  
Expectation Maximization Algorithm ◽  
Recognition System ◽  
Modern World ◽  
Person Identification ◽  
Biometric Systems ◽  
Different Types ◽  
Recognition Systems ◽  
Human Ear ◽  
Pca Algorithm

In the modern world, human recognition systems play an important role to   improve security by reducing chances of evasion. Human ear is used for person identification .In the Empirical study on research on human ear, 10000 images are taken to find the uniqueness of the ear. Ear based system is one of the few biometric systems which can provides stable characteristics over the age. In this paper, ear images are taken from mathematical analysis of images (AMI) ear data base and the analysis is done on ear pattern recognition based on the Expectation maximization algorithm and k means algorithm.  Pattern of ears affected with different types of noises are recognized based on Principle component analysis (PCA) algorithm.

Estimating parameters Gumbel Pareto Distribution

2018 ◽  
Vol 14 (2) ◽  
pp. 53-60
Author(s):  
Mahdi Wahab Namah Nasrallah ◽  
Keyword(s):  
Pareto Distribution
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