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Estimation for the Three-parameter Lognormal Distribution

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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Log moment estimators of the Nakagami lognormal distribution

Log moment estimators of the Nakagami lognormal distribution

... ML estimation method of the NL distribution leads to a set of three non-linear equations involving N-fold definite integrals which have to be solved by numerical methods without a unique ...initial ...

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Parameter Estimation for Bivariate Mixed Lognormal Distribution

Parameter Estimation for Bivariate Mixed Lognormal Distribution

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

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Inference for the shape parameter of lognormal distribution in presence of fuzzy data

Inference for the shape parameter of lognormal distribution in presence of fuzzy data

... presented exact inference procedures (hypotheses tests and confidence intervals) concerning the mean of lognormal distribution by using generalized p-values. The above inference techniques for estimating ...

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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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Inference with the lognormal distribution

Inference with the lognormal distribution

... Fig. 4. The relative biases and relative root-MSEs of estimators of the mode of the lognormal distribution, as functions of the variance  2 . occurs even for the minimax-like estimators for  2 mx = 4 and ...

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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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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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Control Charts for the Lognormal Distribution

Control Charts for the Lognormal Distribution

... 3.4.1. Application of the SPRT to the CUSUM for the lognormal distribution Based on the theory of Wald we will derive a CUSUM scheme for the parameter µ of the lognormal distribution. ...

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Control Charts for the Lognormal Distribution

Control Charts for the Lognormal Distribution

... 1 i i . Suppose we want to test whether the process has gone from an in-control parameter value θ to an out-of-control value 0 θ . We will use Wald’s sequential 1 probability ratio test (SPRT) because CUSUM is a ...

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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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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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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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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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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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Lognormal city size distribution and distance

Lognormal city size distribution and distance

... size distribution and distance Rafael González-Val Universidad de Zaragoza & Institut d'Economia de Barcelona (IEB) Abstract: This paper analyses whether the size distribution of nearby cities is ...

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Lognormal city size distribution and distance

Lognormal city size distribution and distance

... from three different definitions of US cities in 2010, considering all possible combinations of cities within a 300-mile ...the lognormal distribution decreases with distance, although the ...

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