Examples of 'exponential distribution' in a sentence

Meaning of "exponential distribution"

Exponential distribution: In statistics, a probability distribution that describes the time between events in a process where the probability of events occurring quickly decreases over time
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  • Any of a class of continuous probability distributions used to model the time between events that occur independently at a constant average rate.

How to use "exponential distribution" in a sentence

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exponential distribution
Then has an exponential distribution with parameter.
They are modelled by using the exponential distribution.
An exponential distribution has a density function.
An important property of the exponential distribution is that it is memoryless.
The exponential distribution is used to model the lifetimes of.
The beta generalized exponential distribution.
The exponential distribution has the same property.
It is characterized by the negative exponential distribution.
The exponential distribution is the continuous analogue of the geometric distribution.
Service times have an exponential distribution with parameter μ.
The corresponding distribution of intervals between events is an exponential distribution.
Another important property of the exponential distribution is that it is memoryless.
Exponential distribution function.
The time between failures follows an exponential distribution.
Is the exponential distribution.

See also

Recall the memoryless property of the exponential distribution.
The exponential distribution always has a constant hazard rate over time.
Of these events follow an exponential distribution.
The exponential distribution and the geometric distribution are the only memoryless probability distributions.
Generalised bivariate exponential distribution.
The reciprocal exponential distribution finds use in the analysis of fading wireless communication systems.
Generalized bivariate exponential distribution.
The exponential distribution is concerned with the amount of time until a specific event occurs.
Gaussian minus exponential distribution.
This second route is based on two characteristics of the exponential distribution.
An important property of the exponential distribution is the memoryless property.
The length of each phone call is typically modelled as an exponential distribution.
Uniform and exponential distribution.
Assume the failure time of a system follows the exponential distribution.
Multivariate exponential distribution.
These two arguments provide the basis to using the exponential distribution.
Use the exponential distribution to model the time between events in a continuous Poisson process.
This means that has an exponential distribution with rate.
Both the length of disturbances and arrival times had a negative exponential distribution.
We see the connection between the exponential distribution and the gamma distribution.
The Laguerre polynomials are orthogonal with respect to the exponential distribution.
The exponential distribution is characterized by a constant rate of failure function A.
This is also its value for the exponential distribution.
X has an Exponential distribution with.
Assume that the time between arrivals follows the exponential distribution.
The Exponential distribution is the continuous analog of the Geometric distribution.
It turns out that testing for outliers relative to an exponential distribution is very general.
The exponential distribution is widely used in the Reliability Engineering literature.
The Weibull distribution is a generalization of the exponential distribution.
The Exponential distribution is sometimes called the Negative Exponential distribution.
The Pareto distribution is related to the exponential distribution by.
Here, exponential distribution comes to our rescue.
Positive and specified mean, the exponential distribution.
The exponential distribution is a gamma distribution with shape parameter α 1 or k 1.
By contrast, the time between occurrences follows the exponential distribution.

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