Examples of using Mass function in English and their translations into Portuguese
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How to estimate the mass/function of the future liver remnant.
Such random variables cannot be described by a probability density or a probability mass function.
This is the probability mass function of the Poisson distribution with expected value λ.
It assists to accelerate the process andpossibly make your muscle mass function better than without utilizing it.
This is the probability mass function of the Poisson distribution with expected value λ.
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Entropy: this is a measure of dispersion or concentration of a probability mass function.
It helps to speed up the process andpossibly make your muscle mass function a lot more efficiently than without using it.
We can write a probability mass function dependent on t to describe the probability that the M/M/1 queue is in a particular state at a given time.
The mode of a discrete probability distribution is the value"x" at which its probability mass function takes its maximum value.
Spatially resolved study of the initial mass function of nearby galaxies in the near-infrared with WIFIS, BE.EP. PD.
We demonstrated that its density is given by an infinite mixture of normal densities where in the weights are given by the poisson- truncated probability mass function.
It aids to speed up the procedure andalso potentially make your muscle mass function more effectively than without utilizing it.
When standard preparations for mass function quite briefly, while their effects disappear after finishing the therapy, Probolan 50 has a completely different principle of action.
It aids to quicken the procedure andalso potentially make your muscle mass function extra properly compared to without using it.
It is conventional to use a capital"F" for a cumulative distribution function, in contrast to the lower-case"f" used for probability density functions and probability mass functions.
It is common for probability density functions(and probability mass functions) to be parametrized-that is, to be characterized by unspecified parameters.
Minimum mass is a widely cited statistic for extrasolar planets detected by the radial velocity method, andis determined using the binary mass function.
In probability theory and statistics, a probability mass function(pmf) is a function that gives the probability that a discrete random variable is exactly equal to some value.
Based on these data it was possible to determine the exponent of the power law of the initial mass function in Γ -1.39 and luminosity function in α 0.18.
The Initial Mass Function(IMF) is a fundamental aspect of galaxies, yet its determination in galaxies other than the Milky Way has shown conflicting results among studies in the literature.
From this inclination andassuming a mass of 3.0 M☉ for the primary, the binary mass function can be used to calculate a mass of 0.91 M☉ for the secondary.
The probability mass function of a discrete random variable is the density with respect to the counting measure over the sample space usually the set of integers, or some subset thereof.
Definition and examples==In probability theory, a normalizing constant is a constant by which an everywhere non-negative function must be multiplied so the area under its graph is 1, e.g.,to make it a probability density function or a probability mass function.
The mode is not necessarily unique, since the probability mass function or probability density function may take the same maximum value at several points"x"1,"x"2, etc.
When the image(or range) of X{\displaystyle X} is finite or countably infinite, the random variable is called a discrete random variable andits distribution can be described by a probability mass function which assigns a probability to each value in the image of X{\displaystyle X.
In astronomy, the binary mass function or simply mass function is a function that constrains the mass of the unseen component(typically a star or exoplanet) in a single-lined spectroscopic binary star or in a planetary system.
Although it is a powerful tool for interpretation of spectra, many ingredients are used in this the models, each one with their approaches anduncertainties- the library of stellar fluxes used, the initial mass function(imf), the isochrones, etc.
This distribution has neither a probability density function nor a probability mass function, since although its cumulative distribution function is a continuous function, the distribution is not absolutely continuous with respect to Lebesgue measure, nor does it have any point-masses.
In probability theory, a normalizing constant is a constant by which an everywhere non-negative function must be multiplied so the area under its graph is 1, e.g.,to make it a probability density function or a probability mass function.
This thesis is organized in two parts:the first describes the effect of different cosmologies on the galaxy stellar mass function(gsmf), and the second discusses an alternative tool to analyze the galaxy mass evo- lution based on a semi-empirical relativistic approach that uses observational data provided by galaxy redshift surveys, the galaxy cosmological mass function gcmf.