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2-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

... A simulation study has been carried out to evaluate the performance of the estimators of the MMosLE method, the results of which is reported hereafter. These simulations was run by considering the same configurations of ...

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Significance Test Based On Rayleigh Distribution

Significance Test Based On Rayleigh Distribution

... Rayleigh distribution as a life time ...half-logistic distribution and gamma distribution with shape parameter 2 as alternatives are also ...

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The gamma extended Weibull distribution

The gamma extended Weibull distribution

... We compare the GEW model with some of its sub-models and we also compare it with some competitor models: the Burr XII geometric (BXIIG) (Silva and Cordeiro 2015), the beta log-normal (BLN) (Castellares et al. 2013) and ...

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Particle Swarm Optimization Algorithm for the Shortest Confidence Interval Problem

Particle Swarm Optimization Algorithm for the Shortest Confidence Interval Problem

... of parameter is a basic form for statistical conclusion, which can indicate the possible scale for estimated general parameter in a certain extent dependability based on the distribution of pivot ...

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Parameter Estimations and Optimal Design of Simple Step-Stress Model for Gamma Dual Weibull Distribution

Parameter Estimations and Optimal Design of Simple Step-Stress Model for Gamma Dual Weibull Distribution

... New family of distributions namely  G due to (Zagrafos and Balakrishnan 2009). They added a shape parameter to the baseline G distribution. In (2015), (Castellares and Lemonte) studied the concept of ...

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Inequalities involving hypergeometric and related functions

Inequalities involving hypergeometric and related functions

... hyper-gamma distribution has important applications in chemical, biolog- ical, and physical ...the distribution are shift, scale, initial shape x > 1 (in the statistical four-parameter case ...

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Vol 8, No 3 (2017)

Vol 8, No 3 (2017)

... table 2, the value of the Chi-square test of ZTGPL distribution is smaller than that of the ZTPL distribution but the p-value is ...ZTPL distribution is one parameter ...

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Shrinkage Testimator in Gamma Type II Censored Data under LINEX Loss Function

Shrinkage Testimator in Gamma Type II Censored Data under LINEX Loss Function

... the Gamma distribution. The parameter  and  are called the shape and scale parameter, respec- ...scale parameter of Gamma distribution because, in several cases, the ...

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Crossover Heterogeneity in the Absence of Hotspots in Caenorhabditis elegans

Crossover Heterogeneity in the Absence of Hotspots in Caenorhabditis elegans

... the distribution of recombination rates that could generate our observed data, we simulated observations under a range of rate ...the gamma distribution, whose shape parameter allows for a ...

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Exponential-Gamma Distribution

Exponential-Gamma Distribution

... Exponetial- Gamma distribution increasingly resembles the exponential distribution; the spread reduces with increasing scale ...the distribution shows positive skewness for different values of ...

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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 ...

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Vol 10, No 3 (2019)

Vol 10, No 3 (2019)

... p-k-gamma distribution with three parameters. If p=k and λ = 1, we have k-gamma distribution with two parameters (Rahman et ...have gamma distribution with two ...p-k ...

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Miscellaneous properties of the gamma distribution polynomials

Miscellaneous properties of the gamma distribution polynomials

... The gamma distribution is frequently used to model waiting ...a gamma distribution. Also, the importance of the gamma distribution is mainly due to its connections to the normal ...

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Diversity–Multiplexing Tradeoff and Outage Performance for 2×2 Dual Polarized Uncorrelated Rice MIMO Channels

Diversity–Multiplexing Tradeoff and Outage Performance for 2×2 Dual Polarized Uncorrelated Rice MIMO Channels

... The theory curves are identical to the ones by Monte Carlo simulations, which validate the derived expression of E W   and D W   in section 2. As expected, a quantitatively different behavior is observed for ...

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Theory of Statistics - Free Computer, Programming, Mathematics, Technical Books, Lecture Notes and Tutorials

Theory of Statistics - Free Computer, Programming, Mathematics, Technical Books, Lecture Notes and Tutorials

... A semi-parametric approach uses broader families whose distribution func- tions can take on a much wider range of forms. In this approach, a differential equation may be developed to model a limiting case of some ...

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Online Full Text

Online Full Text

... representative distribution can have a significant effect on the output from a simulation ...appropriate distribution is important in building a valid simulation ...

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Four Logarithmically Completely Monotonic Functions Involving Gamma Function and Originating from Problems of Traffic Flow

Four Logarithmically Completely Monotonic Functions Involving Gamma Function and Originating from Problems of Traffic Flow

... In this paper, two classes of functions, involving a parameter and the Euler gamma function, and two functions, involving the Euler gamma function, are verified to be logarithmically com[r] ...

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Genetic Diversity and Population History of Golden Monkeys (Rhinopithecus roxellana)

Genetic Diversity and Population History of Golden Monkeys (Rhinopithecus roxellana)

... among loci. Moreover, the same conclusion for ␪ is The exponential growth model we consider here as- found when E(␪) ⫽ 0–0.015 under the constant popula- sumes an exponential growth after the bottleneck. Fig- tion size ...

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The construction of confidence intervals for frequency analysis using resampling techniques

The construction of confidence intervals for frequency analysis using resampling techniques

... parent distribution. For the lower value of the shape parameter, Table 3 shows that, although the distributions of the Bootstrap location parameters are negatively skewed and those of the scale parameters ...

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MSEPBurr Distribution: Properties and Parameter Estimation

MSEPBurr Distribution: Properties and Parameter Estimation

... MSTBurr distribution have been developed as Neo-Normal distributions that represent a relaxation of ...MSEPBurr distribution with its peak could be not only lower but also high-er than ...Student-t ...

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