bivariate वाक्य
उदाहरण वाक्य
मोबाइल
- Bivariate analysis can be helpful in testing simple hypotheses of association.
- Like univariate analysis, bivariate analysis can be descriptive or inferential.
- In other words, all constraints are bivariate or conditional bivariate.
- In other words, all constraints are bivariate or conditional bivariate.
- Bivariate mapping shows the geographical distribution of two distinct sets of data.
- Not all such bivariate distributions show regression towards the mean under this definition.
- This distribution has been extended to the bivariate case.
- The problem I am doing is in connection with the bivariate normal distribution.
- Bivariate mapping is a comparatively recent graphical method.
- Note that \ Phi is the cumulative distribution function of the bivariate normal distribution.
- The probability function of the bivariate Poisson distribution is
- The general bivariate von Mises distribution was first proposed by Kanti Mardia in 1975.
- This kind of pattern is usually obtained in case of application of bivariate measures.
- However, all such bivariate distributions show regression towards the mean under the other definition.
- Many samples from a bivariate normal distribution.
- The following tables highlight the most prominent bivariate Archimedean copulas, with their corresponding generator.
- The "'resultant "'of two polynomials with bivariate polynomial equation.
- Bivariate analysis can be contrasted with univariate analysis in which only one variable is analysed.
- Let ? denotes the bivariate normal population.
- I found, that a bivariate normal distribution is independent, if it is uncorrelated.
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