Examples of 'weibull' in a sentence
Meaning of "weibull"
Weibull distribution is a statistical distribution commonly used to model the reliability and lifetime of technical systems or products, based on the Weibull probability density function
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- Any of various probability distributions used to model the amount of time for which something can be used until it ceases to be operable.
- A surname.
How to use "weibull" in a sentence
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weibull
Weibull distributions are typically used for modeling reliability.
Exponential and weibull distribution.
Weibull distribution was assumed to allow asymmetric probability density distribution.
Many modifications of the weibull distribution have been proposed in recent years.
Weibull distribution functions were derived from calculated discard fractions.
Failure rates will be modeled by the two parameter weibull distribution.
Weibull parameters were estimated by modelling and by parameter recovery.
This great interest is reflected in the emergence of modifications and generalizations of weibull models.
The weibull distribution is based on the exponential of the negative of a power law.
Twenty five specimens were further tested in mineral oil for determination of weibull parameters.
The weibull distribution was applied as the probability distribution for this case study.
This work presents inferences of the discrete weibull model for survival data with cure rate.
Weibull distribution has became the most frequently used distribution to describe the diameter distribution.
We learned that the Weibull distribution has a.
The Weibull distribution is close to a normal distribution.
See also
The error term is assumed to follow a Weibull distribution.
Has a Weibull distribution with parameters k and λ.
Coefficient depending on the parameters of Weibull distribution form.
The Weibull distribution is a generalization of the exponential distribution.
The mean and variance of the Weibull distribution are.
The survival distribution is assumed to be Weibull.
Lauritz Weibull dismissed it as a legend.
Create a continuous random variable with a Weibull distribution.
The Weibull distribution with fixed shape parameter k is an exponential family.
Generate sample data from two different Weibull distributions.
High Weibull modulus is a highly desirable property for structural ceramics.
Data were fit to both polynomial and Weibull model types.
The parameters of the Weibull distribution can be determined from distribution.
The curves were fitted assuming they follow a Weibull distribution.
The Weibull distribution is a special case of the generalized extreme value distribution.
The meaning of each parameter of Weibull function is now explained.
Both starch state diagrams where represented using a Weibull model.
Gamma and Weibull families of distributions are studied from this point of view.
Note that p is the scale factor used to model Weibull distributions.
The Weibull statistical analysis confirms the lower scatter of the results.
We find that most of these delays follow a Weibull statistical distribution.
Silver Weibull does not share any client information with other companies.
The modeling of these parameters is made with Weibull bivariate distributions.
The fit of data to a Weibull distribution can be visually assessed using a Weibull plot.
This paper describes a growth model based on the Weibull function.
The location and scale parameters of the Weibull distribution were both affected by fertilization.
This leads to an easily implemented numerical scheme for simulating a Weibull distribution.
The Weibull weakest link theory is used to predict failure at given levels of probability.
The strength analysis is also realized in connection with the Weibull theory.
Silver Weibull meets the high standard of quality necessary to supply the large.
The lines represent the best fit through the Weibull distribution.
It was found that the Weibull distribution successfully describes concrete compressive strength failure data.
The ceramic gragile elastic behavior is descrobed within the Weibull statictics framework.
The Weibull shape parameter was obtained in accordance with the definition of the following formula.
Vertical distributions of foliage and branches were modelled using a Weibull probability density function.
