Examples of 'gaussian distribution' in a sentence
Meaning of "gaussian distribution"
Gaussian distribution, also known as normal distribution, is a statistical concept in probability theory. It describes a continuous probability distribution that is symmetrical and bell-shaped. It is often used in mathematical modeling and analysis, as well as in various fields such as physics and social sciences
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- normal distribution.
How to use "gaussian distribution" in a sentence
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gaussian distribution
Gaussian distribution with standard deviation parameter.
Called also gaussian distribution.
Gaussian distribution with mean parameter.
This is not a gaussian distribution.
Gaussian distribution profile.
Follow approximately a gaussian distribution.
Gaussian distribution of.
The mathematical motor makes a gaussian distribution of the energy as a function of the resolution.
It generates a random number with Gaussian distribution.
A gaussian distribution of magnetic bonds across the lattice is assumed usually to solve this model.
The maximum height of daily occurrence was obtained from the gaussian distribution through vertical adjustment.
A Gaussian distribution is chosen as the initial distribution.
The peak shape is usually a Gaussian distribution.
Gaussian distribution of variables was assessed by Shapiro normalcy test.
This is also known as the Gaussian distribution.
See also
Gaussian distribution that is centered at zero since Mu is zero.
The system noise follows a Gaussian distribution.
This is a Gaussian distribution with a zero mean value.
Also known as a bell curve or a Gaussian distribution.
The Gaussian distribution is named after him as a result.
A distribution of these responses is generally a Gaussian distribution.
The black curve is the Gaussian distribution closest to the data.
Mediocristan environments safely can use Gaussian distribution.
Departures of Gaussian distribution are important observables of the primordial perturbations.
This histogram tends towards a Gaussian distribution.
The Gaussian distribution of graphite has a single maximum with no flattening.
The light intensity distribution is a Gaussian distribution.
I with a Gaussian distribution law having a standard deviation σ equal to p meters.
As expected this follows a normal Gaussian distribution.
The Gaussian distribution or the normal distribution to get a probability of a cost.
The intensity profile has a Gaussian distribution.
Gaussian distribution with some parameter Mu and some parameter sigma squared.
The dependent variable did not show Gaussian distribution.
Where y is drawn from a Gaussian distribution with zero mean unit variance.
The joint distribution of probability density is a Gaussian distribution.
It is also known as the Gaussian distribution and the bell curve.
Statistical analysis is performed applying a normal Gaussian distribution.
Transition time is modeled as a Gaussian distribution with known mean and covariance.
Such situations may be regularly detected by using a Gaussian distribution.
We are going to centre a Gaussian distribution for each value and associate a probability to them.
Normal distribution can also be known as Gaussian distribution.
Each Gaussian distribution represents a probabilistic distribution of one or more signal parameters.
The law of probability may be a Gaussian distribution centered on a position.
Note these distributions are typical in models that assume a Gaussian distribution.
The calculation is based on the Gaussian distribution and is named after it.
We used parametric tests for quantitative variables with normal Gaussian distribution.
Quantitative data with Gaussian distribution were described through means and standard deviations.
The scale of the percentages corresponds to the Gaussian distribution.
A beam with a Gaussian distribution was modulated by a spatial light modulator to have an Airy distribution.
The data was fit using two Gaussian distribution functions.
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Examples of using Gaussian
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Gaussian method of solving systems of linear equations
I than apply a gaussian blur to these areas
Gaussian data that we have been looking at so far
