tweedie distributions造句

例句与造句

1. The Tweedie distributions are a family of statistical models characterized by Tweedie convergence effect.
2. The Tweedie distribution most applicable to ecological observations is the cumulant generating function ( CGF ) is:
3. The main justification for the Tweedie hypothesis rests with the mathematical convergence properties of the Tweedie distributions.
4. The asymptotic behavior, and the Tweedie distributions become foci of convergence for a wide range of data types.
5. Random sequences, governed by the Tweedie distributions and evaluated by the " 1 / f " noise.
6. It's difficult to find tweedie distributions in a sentence. 用tweedie distributions造句挺难的
7. Parenthetically, the Tweedie distributions represent a family of scale invariant distributions that serve as foci of convergence for a generalization of the central limit theorem.
8. He had an interest in a class of exponential dispersion models identified by Maurice Tweedie characterized by transformations of scale that are now called the Tweedie distributions.
9. Hence many probability distributions have variance functions that express this asymptotic behavior, and the Tweedie distributions become foci of convergence for a wide range of data types.
10. In appendix B of the Eisler article, however, the authors noted that the equations for impact inhomogeneity yielded the same mathematical relationships as found with the Tweedie distributions.
11. As a consequence of this convergence theorem, processes based on the sum of multiple independent small jumps will tend to express Taylor s law and obey a Tweedie distribution.
12. Nonetheless the Tweedie distributions provide a means understand the possible origins of self-similar stochastic processes for reason of their role as foci for a domain of attraction of a Tweedie model.
13. About the time that Taylor was substantiating his ecological observations, MCK Tweedie, a British statistician and medical physicist, was investigating a family of probabilistic models that are now known as the Tweedie distributions.
14. These Tweedie distributions are characterized by an inherent scale invariance and thus for any random variable " Y " that obeys a Tweedie distribution, the variance var ( " Y " ) relates to the mean E ( " Y " ) by the power law,
15. These Tweedie distributions are characterized by an inherent scale invariance and thus for any random variable " Y " that obeys a Tweedie distribution, the variance var ( " Y " ) relates to the mean E ( " Y " ) by the power law,
16. Much as the central limit theorem requires certain kinds of random processes to have as a focus of their convergence the Gaussian distribution and thus express white noise, the Tweedie convergence theorem requires certain non-Gaussian processes to have as a focus of convergence the Tweedie distributions that express 1 / " f " noise.
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