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Improved Shape Parameter Estimation in K Clutter with Neural Networks and Deep Learning
The discrimination of the clutter interfering signal is
a current problem in modern radars’ design, especially in coastal
or offshore environments where the histogram of the background
signal often displays heavy tails. ...
Improved Shape Parameter Estimation in Pareto Distributed Clutter with Neural Networks
The main problem faced by naval radars is the elimination of the clutter input which is a distortion signal appearing mixed with target reflections. Recently, the Pareto distribution has been related to sea clutter ...
One-Sided Confidence Interval Estimation for Weibull Shape and Scale ParametersOne-Sided Confidence Interval Estimation for Weibull Shape and Scale Parameters
(2012-03-02)
In this paper, we consider the problem of one-sided conditional and unconditional interval estimation for the scale and shape parameters in a two-parameter Weibull model. The statistical inference is based upon the pivots ...
One-Sided Confidence Interval Estimation for Weibull Shape and Scale ParametersOne-Sided Confidence Interval Estimation for Weibull Shape and Scale Parameters
(2012-03-02)
In this paper, we consider the problem of one-sided conditional and unconditional interval estimation for the scale and shape parameters in a two-parameter Weibull model. The statistical inference is based upon the pivots ...
Extraction of Building Roof Boundaries From LiDAR Data Using an Adaptive Alpha-Shape Algorithm
(Ieee-inst Electrical Electronics Engineers Inc, 2019-08-01)
The alpha-shape algorithm was developed to extract object shapes in 2-D space; however, the accuracy of the result depends on an appropriate choice of the parameter alpha. This parameter is directly related to point density ...
Building boundary extraction from LiDAR data using a local estimated parameter for alpha shape algorithm
(2018-09-20)
The α-shape algorithm is a very common option to extract building boundaries from LiDAR data. This algorithm is normally executed in 2D space considering a parameter α as a binary classifier which controls the distinctiveness ...
Estimation of reliability of multicomponent stress-strength of a bathtub shape or increasing failure rate function
(Emerald Group Publishing Ltd, 2019-02-04)
Purpose The purpose of this paper is to deal with the Bayesian and non-Bayesian estimation methods of multicomponent stress-strength reliability by assuming the Chen distribution. Design/methodology/approach The reliability ...
Statistical properties and different methods of estimation of Gompertz distribution with application
(Taru Publications, 2018-01-01)
This article addresses the various properties and different methods of estimation of the unknown parameters of Gompertz distribution. Although, our main focus is on estimation from both frequentist and Bayesian point of ...
Reliability of using stereo photogrammetry to estimate modal parameters
(2017-01-01)
Stereophotogrammetry is a three-dimensional full-field measurement technique that has gained more importance in the area of modal analysis in the past few years. In this technique, full-field data can be taken in a single ...
One-Sided confidence interval estimation for Weibull Shape and scale parametersOne-Sided confidence interval estimation for Weibull Shape and scale parameters
(Universidad de Costa Rica, Centro de Investigación en Matemática Pura y Aplicada (CIMPA), 2005)