bivariate normal distribution मीनिंग इन हिंदी

उदाहरण वाक्य

1. The problem I am doing is in connection with the bivariate normal distribution.
2. Note that \ Phi is the cumulative distribution function of the bivariate normal distribution.
3. Many samples from a bivariate normal distribution.
4. I found, that a bivariate normal distribution is independent, if it is uncorrelated.
5. It may be thought of as an analogue on the torus of the bivariate normal distribution.
6. It is the analogue on the two-dimensional unit sphere of the bivariate normal distribution with an unconstrained covariance matrix.
7. They just correspond to a degenerate bivariate normal distribution . talk ) 16 : 49, 2 November 2009 ( UTC)
8. In the case of utilization distributions constructed from unbounded kernel elements, such as bivariate normal distributions, the utilization distribution is itself unbounded.
9. where \ mathcal { N } ( ) is the bivariate normal distribution and \ Sigma is the covariance matrix for the circular distribution:
10. Most distributions are univariate, so that Q _ 1 = 1, and an example of Q _ 1 = 2 is the bivariate normal distribution.