Examples of using Probability density in English and their translations into Portuguese
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He formulated the now-standard interpretation of the probability density function for ψ*ψ in the Schrödinger equation,
Changing the domain of a probability density, however, is trickier
Slightly confusingly, when a probability density function has multiple local maxima it is common to refer to all of the local maxima as modes of the distribution.
This quantity 2 hour-1 is called the probability density for dying at around 5 hours.
And I encourage you to rewatch the video on probability density functions because it's a little bit of a transition going from the binomial distribution, which is discreet.
For any set of independent random variables the probability density function of their joint distribution is the product of their individual density functions.
As the energy increases, the probability density becomes concentrated at the classical"turning points",
The probability density function, cumulative distribution function
It varies according to a Chi-square probability density function with two degrees of freedom m 1.
Find the probability density function for the ratio of the smallest to the largest sample among independent drawings from BetaDistribution 2, 3.
As the energy increases, the probability density peaks at the classical"turning points",
such as histogram and probability density functions, to quantify the texture present in an image.
quantile function, probability density function, and of the hazard function.
a cumulative distribution function, in contrast to the lower-case"f" used for probability density functions and probability mass functions.
it is called the probability density function of the distribution of"X.
we learned that that's a probability density function.
this is the standard deviation of this distribution, which is a probability density function.
So it's the area from minus infinity to x of our probability density function.
These appear as distinct peaks(local maxima) in the probability density function, as shown in Figures 1 and 2.
The Stan language is used to specify a(Bayesian) statistical model with an imperative program calculating the log probability density function.

