shape parameter
Statistical inference for the shape parameter change point estimator in negative associated gamma distribution
... the shape parameter ν = , the gamma dis- tribution is an exponential distribution with parameter λ; when λ = , the gamma distri- bution is a chi-squared distribution, with ν degrees of ...The ...
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On Maximum Likelihood Estimates for the Shape Parameter of the Generalized Pareto Distribution
... Abstract: The general Pareto distribution (GPD) has been widely used a lot in the extreme value for example to model exceedance over a threshold. Feature of The GPD that when applied to real data sets depends ...
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Improved Shape Parameter Estimation in K Clutter with Neural Networks and Deep Learning
... Fig. 2. Histograms of Errors Committed by the Neural and MoM Estimators. If Fig. 2 is examined, it can be seen that even though the overall performance of the neural network is better than the MoM, this cannot be ...
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Inference for the shape parameter of lognormal distribution in presence of fuzzy data
... the shape parameter of lognormal distribution when the available observations are fuzzy and are assumed to be related to underlying crisp realization of a random ...the parameter provides an ...
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A class of shrinkage estimators for the shape parameter of the Weibull lifetime model
... the shape parameter when some prior guess value of is available have been analyzed by using the criteria of bias ratio, mean squared error and relative ...
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A New Kind of EH B-spline Curve With a Shape Parameter
... two shape parameters, called EH B- spline, is presented in this paper, which is the extension of the standard cubic Hermite interpolation spline, and inherits the same properties of the standard cubic Hermite ...
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Quartic Trigonometric Bézier Curves and Surfaces with Shape Parameter
... and the properties of the basis functions are shown. In section III, quartic trigonometric Bézier curves are given and some properties are discussed. By using shape parameter, shape control of the ...
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Index Terms - Blending Functions, Trigonometric Bezier Curves, Tension Parameter, Shape Parameter, Interpolation trigonometric
... with shape parameters has gained more interest in CAGD, in particular curve ...a shape parameter. The shape of the curve was more easily controlled by altering the values of shape ...
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Estimate the Shape Parameter of Generalize Rayleigh Distribution Using Bayesian – Shrinkage Technique
... unknown shape parameter (α) of two parameters generalized Rayleigh (GR) distribution when the scale parameter (λ) is known, addition a prior knowledge about the shape parameter (α) is ...
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Estimating the Effect of the Shape Parameter for Probability Distribution Using the Minimum Variance Method
... 2. The importance of using the sample data in estimating the parameters of the shape of binomial, bias one and natural distributions. They used the least variance method to find out the effect of this method on ...
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Improved Shape Parameter Estimation in Pareto Distributed Clutter with Neural Networks
... The neural network, which was finally designed, achieves a precise and low computational cost estimation of the Pareto shape parameter in a wide range of possible values. Its design contributes to the ...
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Process Capability Indices for Shape Parameter of Weibull Distribution
... buted processes showed inappropriate for processes with non-normal distributions. A number of authors worked on non-normal distributions which were most notably those of Clements, Pearn and Chen, Montgomery and ...
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Bayesian analysis of shape parameter of Lomax distribution using different loss functions
... This paper is arranged as follows: Section 2, 3 and 4 discusses the Bayesian methodology using Jeffrey’s prior and extension of Jeffrey’s prior information under different loss functions for estimation of the ...
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Cubic Trigonometric Bézier Curve with Shape Parameter
... The shape parameter also serves to effect local control in the ...of shape parameter on the Cubic Trigonometric Bézier curve for = 1 (green lines), = ...
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L Inference for shape parameter estimation
... the EM algorithm. Several algorithms follow the strategy of modelling the registration explicitly as a Maximum Likelihood problem. Some of them are Luo et al. [55], My- ronenko et al. [5] and Ganger et al. [42]. McNeil ...
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Shape Parameter-Based Recognition of Hand Gestures
... Thumb detection is performed to detect the presence or absence of the thumb in the hand gesture. The thumb is considered as an important shape feature for classification of hand gestures. To detect the presence of ...
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Sensitivity analysis of scenario models for operational risk Advanced Measurement Approach
... This shows that for same percentage change in MS and WS (ie, a%=b%), change in VaR would also be a%. ie, if WS and MS are changed by a scalar such that WS/MS ratio is held constant, then VaR changes by the same scalar. ...
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CONFIDENCE INTERVALS FOR THE SCALE PARAMETER OF A TWO-PARAMETER WEIBULL DISTRIBUTION: ONE SAMPLE PROBLEM
... the shape parameter β equals 1 and all scale parameters θ for all sample ...a shape parameter β increases, the coverage prob- abilities of the exact and asymptotic confidence intervals are ...
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Investigation of the IOT Network of Packet Loss’s Long-Range Dependence and QOE
... According to the principle of the experiment we can assume, when N is bigger, self-similar is bigger, Hurst parameter is bigger, packet loss rate is bigger. Therefor, do four experiments, when the shape ...
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Volume 9 - Article 10 | Pages 223–262
... the shape of the standard schedule is inappropriate and therefore is to be set to a specific value to create a country-specific ...the shape parameter to take value specific to a target cohort, the ...
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