Examples of using Random variable in English and their translations into Italian
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Colloquial
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Medicine
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Ecclesiastic
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Ecclesiastic
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Computer
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and the function"g" as a random variable"X.
distribution is a continuous probability distribution of a random variable whose logarithm is normally distributed.
is impossible), this is not so in the case of a continuous random variable.
conditional distribution of probability of a random variable.
Intuitively, a continuous random variable is the one which can take a continuous range of values-as opposed to a discrete distribution,
The corresponding formula for a continuous random variable with probability density function f(x)
Let θ be an unknown random variable, and suppose that x 1,
DS= adt+ bdz but dz=vw[dt]1⁄2, where w is a standard normal random variable and v is the scale of the variability of the random element; i.e., its standard deviation.
V-TONE: Activates exclusively on Voice marked with the logo V. The V-Tone allows sound created with this feature a sort of round robin timbre(ie an automatic and/ or random variable timbre of the same wave).
The Chebyshev inequality states that if formula_1 is a random variable with standard deviation"σ">
is a factor depending on the triplet and χ is a random variable no longer systematically influenced by the extents of C, P, T. We then
For example, if they need a prior distribution for the mean and variance of a random variable, they may assume p(m,
Performs a test of the null hypothesis, that sample is a sample of a normal distributed random variable with mean mean
The second view is the probabilistic view: the random variable F f( G){\displaystyle\textstyleF=f(G)} depends upon the random variable G g( H){\displaystyle\textstyleG=g(H)}, which depends upon H h( X){\displaystyle\textstyleH=h(X)}, which depends upon the random variable X{\displaystyle\textstyle X.
Y)= H( X, Y)-H(Y).\,} Mutual information measures the amount of information that can be obtained about one random variable by observing another.
of the random variable W{\displaystyle W.
where X is a random variable with the specified normal distribution.
Let Y{\displaystyle Y} be any scalar random variable, and define a time-series{ X t}{\displaystyle\ left\{ X_{ t}\ right\}},
E(X 2) of a random variable X are known(where E(X)
of a given random variable X t{\displaystyle X_{t}}