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Lognormal distribution has abundant applications in various fields. In literature, most inferences on the two parameters of the lognormal distribution are based on Type-I censored sample data.
Jin Xia, Jie Mi, YanYan Zhou
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Beyond Zipf's Law: The Lavalette Rank Function and Its Properties. [PDF]
Although Zipf's law is widespread in natural and social data, one often encounters situations where one or both ends of the ranked data deviate from the power-law function.
Oscar Fontanelli +4 more
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Fatigue damage is the most important failure mode of wire ropes, and models of cumulative fatigue damage of wire ropes under multiple impact loads have been proposed based on the principle of microdamage linear accumulation.
Ren Zhiqian, Chen Xun
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The Truncated Lognormal Distribution as a Luminosity Function for SWIFT-BAT Gamma-Ray Bursts
The determination of the luminosity function (LF) in Gamma ray bursts (GRBs) depends on the adopted cosmology, each one characterized by its corresponding luminosity distance.
Lorenzo Zaninetti
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Testing Inverse Gaussian Versus Log Normal [PDF]
The inverse Gaussian distribution has been proposed as a model for distribution of life times. It is considered as an alternative to other observed distributions in particular to the lognormal.
S.A. Shaban
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The mathematical formula of the intravaginal ejaculation latency time (IELT) distribution of lifelong premature ejaculation differs from the IELT distribution formula of men in the general male population [PDF]
Purpose: To find the most accurate mathematical description of the intravaginal ejaculation latency time (IELT) distribution in the general male population. Materials and Methods: We compared the fitness of various well-known mathematical distributions
Paddy K.C. Janssen, Marcel D. Waldinger
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An Approximate Closed Formula for European Mortgage Options
The aim of this paper is to investigate the use of close formula approximation for pricing European mortgage options. Under the assumption of logistic duration and normal mortgage rates the underlying price at the option expiry is approximated by ...
A. M. Lopez Galvan
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Generalized linear models might not be appropriate when the probability of extreme events is higher than that implied by the normal distribution. Extending the method for estimating the parameters of a double Pareto lognormal distribution (DPLN) in Reed ...
Enrique Calderín-Ojeda +2 more
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Variability in the Log Domain and Limitations to Its Approximation by the Normal Distribution
Pharmacometric models using lognormal distributions have become commonplace in pharmacokinetic–pharmacodynamic investigations. The extent to which it can be interpreted by traditional description of variability through the normal distribution remains ...
Jeroen Elassaiss‐Schaap +1 more
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Understanding and projecting income distributions within countries and regions is important to understanding consumption trends and the distributional consequences of climate impacts and responses.
Kanishka B Narayan +3 more
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