Exemplos de uso de Density function em Inglês e suas traduções para o Português
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Where is the streamflow probability density function.
Where ft is the density function and St is the survival function. .
The BETADIST() function returns the cumulative beta probability density function.
There is a probability density function f with f(5 hours) 2 hour-1.
The probabilist polynomials are thus orthogonal with respect to the standard normal probability density function.
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K 0 calculates the density function; K 1 calculates the distribution.
These appear as distinct peaks(local maxima) in the probability density function, as shown in Figures 1 and 2.
Let f(x) be the density function of an absolute continuous random variable X.
For several of these cases,the maximum value of the density function occurs at one or both ends.
The form of the density function of the Weibull distribution changes drastically with the value of k.
For each hypothesis,construct a probability density function for the location of the object.
The probability density function is nonnegative everywhere, and its integral over the entire space is equal to one.
In some cases the(maximum)value of the density function occurring at the end is finite.
A probability density function is most commonly associated with absolutely continuous univariate distributions.
In several other cases there is a singularity at one end,where the value of the density function approaches infinity.
Cumulative 0 calculates the density function; cumulative 1 calculates the distribution.
For"k" 1, the density function tends to"1/λ" as"x" approaches zero from above and is strictly decreasing.
He formulated the now-standard interpretation of the probability density function for ψ*ψ in the Schrödinger equation, which he published in July 1926.
For k> 1, the density function tends to zero as x approaches zero from above, increases until its mode and decreases after it.
But in a continuous probability distribution or a continuous probability density function, you can't just say what is the probability of me getting a 5.
Its probability density function and the associated risk function were studied with promising results.
We obtain probability density function(pdf) and study the high dimensionality and high neighborhood order limits for distance statistics problem.
Their λ parameters of the density function are similar, with a large overlapping of confidence intervals.
The exponential probability density function and cumulative distribution function are described as follows.
For 0< k< 1, the density function tends to∞ as x approaches zero from above and is strictly decreasing.
A distribution has a density function if and only if its cumulative distribution function F(x) is absolutely continuous.
Note that if the probability density function is a function of various parameters, so too will be its normalizing constant.
This yields a smoother probability density function, which will in general more accurately reflect distribution of the underlying variable.