نتایج جستجو برای: weibull distribution function

تعداد نتایج: 1744271  

Doubly censoring scheme, which includes left as well as right censored observations, is frequently observed in practical studies. In this paper we introduce a new interval say tracking interval for comparing the two rival models when the data are doubly censored. We obtain the asymptotic properties of maximum likelihood estimator under doubly censored data and drive a statistic for testing the ...

Journal: :Signal Processing 2014
Xuexing Zeng Jinchang Ren Meijun Sun Stephen Marshall Tariq S. Durrani

This paper presents algorithms for generating random variables for exponential/Rayleigh/ Weibull, Nakagami-m and Rician copulas with any desired copula parameter(s), using the direct conditional cumulative distribution function method and the complex Gaussian distribution method. Moreover, a novel method for optimal copula selection is also proposed, based on the criterion that for a given seri...

2006
ALADDIN SHAMILOV ILHAN USTA YELIZ MERT KANTAR

In the present study, we have constructed MinMaxEnt distribution alternative to the Weibull distribution for the wind speed. MinMaxEnt distribution minimizes the special maximum entropy functional in the concrete set of moment functions, therefore, maximizes the amount of information generated by the given random sample. MinMaxEnt distribution of wind speed data measured in Eskisehir is also ob...

Journal: :International Journal of Astronomy and Astrophysics 2022

We derive the truncated version of Weibull—Pareto distribution, deriving probability density function, distribution average value, rth moment about origin, media, random generation values and maximum likelihood estimator which allows three parameters. The astrophysical applications are initial mass function for stars, luminosity galaxies Sloan Digital Sky Survey, QSO photometric 2 MASS Redshift...

2002
Chuangmin Liu Lianjun Zhang Craig J. Davis Dale S. Solomon Jeffrey H. Gove

A finite mixture model is used to describe the diameter distributions of mixed-species forest stands. A three-parameter Weibull function is assumed as the component probability density function in the finite mixture model. Four example plots, each with two species, are selected to demonstrate model fitting and comparison. It appears that the finite mixture model is flexible enough to fit irregu...

2003
Miloslav Nosal Eva-Marie Nosal

A three-parameter Weibull distribution model was developed and verified to simulate the underlying frequency distributions of observations with missing values through the entire range of observations or near and below detection limit of the monitoring equipment. The corresponding Weibull pseudo-random generator then can be used to estimate and replace the missing observations so that the origin...

Journal: :پژوهش های تولید گیاهی 0
ابوالفضل درخشان جاوید قرخلو

the hydrothermal time models have been widely applied to describe the germination responses of seeds to temperature and water potential. in this study, three hydrothermal time models developed on the basis of different statistical distributions (normal, weibull and gumbel) were compared to describe the phalaris minor seed germination. results showed that gumbel (aicc=-762.8) and weibull (aicc=-...

2014
Steve P. Verrill James W. Evans David E. Kretschmann Cherilyn A. Hatfield

Two important wood properties are the modulus of elasticity (MOE) and the modulus of rupture (MOR). In the past, the statistical distribution of the MOE has often been modeled as Gaussian, and that of the MOR as lognormal or as a twoor three-parameter Weibull distribution. It is well known that MOE and MOR are positively correlated. To model the simultaneous behavior of MOE and MOR for the purp...

Journal: :Signal Processing 2014
Xuexing Zeng Jinchang Ren Zheng Wang Stephen Marshall Tariq S. Durrani

Existing works on multivariate distributions mainly focus on limited distribution functions and require that the associated marginal distributions belong to the same family. Although this simplifies problems, it may fail to deal with practical cases when the marginal distributions are arbitrary. To this end, copula function is employed since it provides a flexible way in decoupling the marginal...

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