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The phrase "probability distribution function" is correct and commonly used in written English.
It refers to a mathematical function that describes the probability that a random variable takes on a certain value or falls within a certain range of values. You can use the phrase "probability distribution function" when discussing statistics, probability, or data analysis. For example: - The normal distribution is often represented by a probability distribution function, also known as a bell curve. - In order to calculate the likelihood of our results, we need to first determine the appropriate probability distribution function for our data. - The area under the curve of a probability distribution function represents the probability of a random variable falling within a certain range of values.
Exact(58)
And continuous is given by probability distribution function.
A two-dimensional strength probability distribution function is derived.
The diffusion parameters were estimated and a probability distribution function generated for each voxel in the brain.
In general terms, an uncertain soil variable is completely specified by its probability distribution function (pdf).
EMG was quantified using the amplitude probability distribution function (muscle loading) and gaps analyses (muscle rest).
In mathematical statements, a suitable probability distribution function (PDF) is well-designed for representing such uncertainties.
We therefore utilize exceedance probability of a probability distribution function regarding interurban accessibility.
First, the probability distribution function of each uncertain parameter can be approximately represented by several nodes.
A simple constitutive model based on the non-Gaussian, Kuhn Grün probability distribution function is derived.
In this framework, the equation for the state trajectory is replaced with an equivalent equation for its probability distribution function in the constrained optimization setting.
The "probabilistic catalog" technique produces samples from the posterior probability distribution function on the space of all possible catalogs, allowing trivial marginalization of errors introduced by close neighbors.
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