variance function造句

Variance functions play a very important role in parameter estimation and inference.
The variance function plays a large role in many settings of statistical modelling.
The variance function and its applications come up in many areas of statistical analysis.
The Normal distribution is a special case where the variance function is a constant.
As we saw above, the Gamma variance function is quadratic in the mean.
It's difficult to find variance function in a sentence. 用variance function造句挺难的

In a non-parametric setting, the variance function is assumed to be a smooth function.
When a member of the exponential family has been specified, the variance function can easily be derived.
Natural exponential families with quadratic variance functions ( NEF-QVF ) are closed under convolutions of a linear transformation.
The above formula is particularly useful for the negative binomial distribution, so that the RR-NB has variance function
*Morris C . ( 1982 ) " Natural exponential families with quadratic variance functions : statistical theory ".
In addition, we describe the applications and use of variance functions in maximum likelihood estimation and quasi-likelihood estimation.
To calculate the variance function V ( \ mu ), we first express \ theta as a function of \ mu.
Almost all distribution functions with finite cumulant generating functions qualify as exponential dispersion models and most exponential dispersion models manifest variance functions of this form.
Anderson " et al " formulated a simple stochastic birth, death, immigration and emigration model that yielded a quadratic variance function.
The plot of the non-parametric smoothed variance function can give the researcher an idea of the relationship between the variance and the mean.

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