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Parameter estimation for the gamma distribution

Remote Sensing Image Fusion using PCNN Model Parameter Estimation by Gamma Distribution in Shearlet Domain

Remote Sensing Image Fusion using PCNN Model Parameter Estimation by Gamma Distribution in Shearlet Domain

... The experimental results on satellite images show that the proposed method has good performance and able to preserve spectral information and high spatial details simultaneously like the[r] ...

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Parameter Estimation of Weighted Erlang Distribution Using R Software

Parameter Estimation of Weighted Erlang Distribution Using R Software

... of distribution of recorded ...weighted distribution that include and generalize the Poisson distribution, Jing (2010) introduced the weighted inverse Weibull distribution and beta inverse ...

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Parameter Estimation for Weibull Distribution

Parameter Estimation for Weibull Distribution

... Weibbull’s distribution is frequently used in theory of reliability and in theory of life expec- tancy as a mathematical model as well as in pharmacology, biology, electrical engineering ...this ...

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On Maximum Likelihood Estimation for the Three Parameter Gamma Distribution Based on Left Censored Samples

On Maximum Likelihood Estimation for the Three Parameter Gamma Distribution Based on Left Censored Samples

... Cheng and Iles (1987, 1990), Smith (1985), Cohen and Whitten (1982) [4, 5, 6, 7, 2] have aimed to provide reliable estimates of θ for the three-parameter gamma distribution. In the recent past some ...

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The Riemannian Structure of the Three Parameter Gamma Distribution

The Riemannian Structure of the Three Parameter Gamma Distribution

... and through summary in this area. In Section 2, we de- fined the fundamental Riemannian metric tensor and its inverse tensor. In Section 3.1, we define and derive the sectional curvature. In Section 3.2, the definition ...

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MSEPBurr Distribution: Properties and Parameter Estimation

MSEPBurr Distribution: Properties and Parameter Estimation

... 7. Conclusion This paper has presented MSEPBurr distribution as a general form of MSNBurr distribution. We also have studied the properties of this distribution. The mean and variance of MSEPBurr are ...

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Parameter Estimation In Weighted Rayleigh Distribution

Parameter Estimation In Weighted Rayleigh Distribution

... Rayleigh distribution has been published by Reshi et ...Rayleigh distribution and also investigated the various structural and characterizing properties of that ...the parameter of the Rayleigh ...

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Estimation of the scale parameter of gamma model in presence of outlier observations

Estimation of the scale parameter of gamma model in presence of outlier observations

... This paper considers the Bayesian point estimation of the scale parameter for a two-parameter gamma life-testl,g model In presence of several outller observations in the data.. The Bayes[r] ...

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PARAMETER ESTIMATION OF THE HYBRID CENSORED LOMAX DISTRIBUTION

PARAMETER ESTIMATION OF THE HYBRID CENSORED LOMAX DISTRIBUTION

... The lifetime of an individual is censored when it cannot be exactly measured but partial information is available. Different circumstances can produce different types of censoring. The two most common censoring schemes ...

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Parameter Estimation for Bivariate Mixed Lognormal Distribution

Parameter Estimation for Bivariate Mixed Lognormal Distribution

... lognormal distribution is a probability model used for representing rainfalls behavior at two monitoring ...the parameter estimation for bivariate mixed lognormal distribution in which all ...

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LQ-moments: parameter estimation for kappa distribution

LQ-moments: parameter estimation for kappa distribution

... Kappa distribution which has received only limited attention from the hydrologic community, can be widely used because several established distributions including the distribution of GEV , GL , and Gumbel ...

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Inference about Reliability Parameter with Underlying Gamma and Exponential Distribution

Inference about Reliability Parameter with Underlying Gamma and Exponential Distribution

... 1. Introduction Extensive research has been conducted on the stress-strength model. This model involves two independent random variables X and Y , and the parameter of interest is the probability R ≡ P (X ≥ Y ). ...

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Beta Exponentiated Gamma Distribution: Some Properties and Estimation

Beta Exponentiated Gamma Distribution: Some Properties and Estimation

... The rest of the paper is organized as follows. In section 2, we demonstrate that the ( BEG ) density function can be expressed as a linear combination of the exponentiated gamma. This result is important to ...

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Monte Carlo Comparison of the Parameter Estimation Methods for the Two-Parameter Gumbel Distribution

Monte Carlo Comparison of the Parameter Estimation Methods for the Two-Parameter Gumbel Distribution

... The following conclusions are drawn from the results of the Monte Carlo simulation study. i) According to the bias comparisons of the estimators: As far as the location parameter μ is concerned, MML did not ...

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Bayesian Approach in Estimation of Scale Parameter of Nakagami Distribution

Bayesian Approach in Estimation of Scale Parameter of Nakagami Distribution

... Nakagami distribution is a flexible lifetime distribution that may offer a good fit to some failure data ...scale parameter of Nakagami distribution. For the posterior distribution of ...

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Simple robust parameter estimation for the Birnbaum-Saunders distribution

Simple robust parameter estimation for the Birnbaum-Saunders distribution

... For estimation of β , we have a preference for the use of the HL estimator β ˆ HL , because numerical results show that it remains more accurate than the median estimator β ˆ M ...

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Robust Parameter Estimation in the Weibull and the Birnbaum-Saunders Distribution

Robust Parameter Estimation in the Weibull and the Birnbaum-Saunders Distribution

... 3, estimation in the Weibull distribution and the Birnbuam- Saunders distribution with type II censored sample is considered in ...shape parameter β and scale δ in the Weibull ...

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Symmetrical Trapezoidal Normal Distribution and its Parameter Estimation

Symmetrical Trapezoidal Normal Distribution and its Parameter Estimation

... new distribution based on normal distribution, is called trapezoidal normal distribution under the same ...the parameter estimation of the trapezoidal normal distribution using ...

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Parameter estimation of the hybrid censored log-normal distribution

Parameter estimation of the hybrid censored log-normal distribution

... The two most common censoring schemes used in life testing experiments are Type-I and Type-II censoring schemes. Hybrid censoring scheme is mixture of Type-I and Type-II censoring scheme. In this work we consider the ...

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An Application of Gamma Distribution to the Income Distribution and the Estimation of Potential Food Demand Functions

An Application of Gamma Distribution to the Income Distribution and the Estimation of Potential Food Demand Functions

... shape parameter decreasing the income inequity while regional and his- torical conditions cause significant ...income distribution structure in spite of the significant R 2 ...

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