Examples of 'mean and variance' in a sentence

Meaning of "mean and variance"

Mean and variance: In statistics, mean is the average of a set of numbers, calculated by adding all the numbers together and dividing by the count of numbers. Variance is a measure of the spread of numbers in a data set around their mean, calculated by taking the average of the squared differences between each number and the mean

How to use "mean and variance" in a sentence

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mean and variance
The mean and variance of random variable n are both i.
This distribution has an infinite mean and variance.
The mean and variance are given to us by.
These coefficients are then normalised for mean and variance.
Approximation of the mean and variance for large values of λ.
Start with a normal distribution of the specified mean and variance.
Compute mean and variance of the negative binomial distribution.
The sums should be normally distributed with characteristic mean and variance.
These mean and variance statistics are stored as part of the training data.
It is the conjugate prior of a normal distribution with unknown mean and variance.
Then we may establish the mean and variance of this population of indices.
Observe that a normal distribution is completely determined by its mean and variance.
The mean and variance of the values are now called the.
Other statistical analysis can be used such as running mean and variance.
The spatial statistics indicate a mean and variance of macroblocks within the frame.

See also

The mean and variance of the concentrations exhibited a generally decreasing pattern in each species.
Selectivity would lead to biased estimates of the mean and variance of proportional recruitment.
Mean and variance values for the colors of the pixels contained in the segmented areas.
The main feature of poisson model is the assumption that mean and variance are equal.
The mean and variance of a Poisson distribution is λ.
Hardware virtualization for mean and variance estimations of QAM symbols.
The mean and variance of the Weibull distribution are.
Provided that f is twice differentiable and that the mean and variance of X are finite.
Mean and variance are the two parameters that represent a Normal distribution.
Therefore, it only remains to compute its mean and variance.
A mean and variance of either noise power or SNR then leads to reasonable exact measurements.
Results individual and summary, including mean and variance when appropriate.
Derive the mean and variance of Poisson Distribution.
This first phase 34 is critical in the computation of mean and variance estimates.
The mean and variance of a binomial distribution are given by,.
Consequently, parameters such as mean and variance also do not change over time.
The mean and variance of the modulus of this spectral density is m and σ 2, respectively.
The pure sine-wave detector consists of a mean and variance calculator and a comparator.
However, the mean and variance do not follow the same transformation.
This forms a distribution of different means, and this distribution has its own mean and variance.
The equilibrium distribution, mean and variance of queue length are known for this model.
For the statistic S is approximately normally distributed with the mean and variance as follows,.
The mean and variance 4.
The noise term n ' may be characterized as a random variable having zero mean and variance EPMATHMARKEREP.
The mean and variance of stratified random sampling are given by: [1].
The noise vector n has independent real components in a Gaussian distribution of zero mean and variance N 0.
In Table 1, the descriptive values mean and variance [ V ] are presented for each cluster.
We find the large n=k+1 approximation of the mean and variance of chi distribution.
The mobile station 108 may then estimate the mean and variance of the RTT noise nk.
Step 4, compute the expected mean and variance of R, as follows,.

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Examples of using Variance
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