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Estimation for the Three-parameter Gamma Distribution

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

... the three-parameter gamma distribution to the well known dataset on maximum flood levels from Antle and Dumonceaux (1973) ...of estimation methods for three-parameter ...

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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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Maximum Entropy and Maximum Likelihood Estimation for the Three Parameter Kappa Distribution

Maximum Entropy and Maximum Likelihood Estimation for the Three Parameter Kappa Distribution

... Kappa Distribution; Lagrange Multiplier ...probability distribution given the available information as seeks the probability distribution that maximizes the information entropy subject to the infor- ...

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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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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

... A weighted model based on the Rayleigh distribution is proposed and the statistical and reliability properties of this model are presented. Some non-Bayesian and Bayesian methods are used to estimate the β ...

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Estimation and Testing Procedures for the Reliability Functions of Three Parameter Burr Distribution under Censorings

Estimation and Testing Procedures for the Reliability Functions of Three Parameter Burr Distribution under Censorings

... a three parameter Burr distribution by introducing a scale parameter say α in (1) and ...(2). Three-parameter form of Burr XII distribution is a generalization of the ...

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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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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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Three-parameter lognormal distribution: parametric estimation using l-moment and tl-moment approach

Three-parameter lognormal distribution: parametric estimation using l-moment and tl-moment approach

... 78: 6–11 (2016) 85–96 | www.jurnalteknologi.utm.my | eISSN 2180–3722 | moments level are based on the minimum achieved median of RRMSE or RBIAS values, as well as the minimum dispersion in the median of RRMSE or RBIAS ...

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Three Parameter Laplace Type Bimodal Distribution

Three Parameter Laplace Type Bimodal Distribution

... the Three parameter Laplace type Bimodal ...location parameter and best linear unbiased estimator of the location and scale parameter were also ...

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Beta Exponentiated Gamma Distribution: Some Properties and Estimation

Beta Exponentiated Gamma Distribution: Some Properties and Estimation

... ) distribution such as quantile, and the ordinary moments and measures of skewness and ...The distribution of the order statistics is expressed in section ...four parameter index to the ...

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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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