marginal distribution वाक्य
उदाहरण वाक्य
मोबाइल
- The fidelity deals with the marginal distribution of the random variables.
- The marginal distributions are shown in red and blue.
- Other than that they're the same formula ( see Marginal distribution ).
- Which has Pareto Type II univariate marginal distributions.
- That is, the joint distribution is equal to the product of the marginal distributions.
- UbuWeb was founded in response to the marginal distribution of crucial avant-garde material.
- The distributions of each of the component random variables X _ i are called marginal distributions.
- Galton developed the following model : pellets fall through a bivariate distribution with identical marginal distributions.
- Thus, a more detailed study would examine changes to the whole of the marginal distribution.
- Univariate functions can be applied point-wise to multivariate data to modify their marginal distributions.
- The marginal distribution has a unit mean, has a positive support, and is independent of.
- The main idea in the proof is the continuity of the mutual information in the pairwise marginal distribution.
- Furthermore, let denote the cumulative distribution functions of the one-dimensional marginal distributions of, that means
- Which has marginal distributions of the same type ( 3 ) and Pareto Type II univariate marginal distributions.
- Which has marginal distributions of the same type ( 3 ) and Pareto Type II univariate marginal distributions.
- Thus, forecasting with Monte-Carlo simulation with the Gaussian copula and well-specified marginal distributions are effective.
- The measurement is repeated again a large number of times and a marginal distribution is retrieved from the current difference.
- Quantitative techniques that use Monte-Carlo simulation with the Gaussian copula and well-specified marginal distributions are effective.
- The marginal distribution of X is also approximated by creating a histogram of the X coordinates without consideration of the Y coordinates.
- Thus, the elements corresponding to X in the above partial sweeping equation represent the marginal distribution of X in potential form.
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