| 词汇 | example_english_distributional-assumption |
| 释义 | distributional assumptioncollocation in Englishmeanings of assumptionThese words are often used together. Click on the links below to explore the meanings. Or, see other collocations with assumption. assumption noun uk /əˈsʌmp.ʃən/ us /əˈsʌmp.ʃən/ something that you accept as true without question ... See more at assumption Examples of distributional assumptionThese examples are from corpora and from sources on the web. Any opinions in the examples do not represent the opinion of the Cambridge Dictionary editors or of Cambridge University Press or its licensors. Furthermore, the general behavior of the heuristics does not appear to be much affected by the distributionalassumption. Consequently, 2 the growth-optimal bounds under this distributionalassumption provides almost the same information as the minimum variance bounds, particularly in the continuous-time diffusion limit. Parametric bootstrapping makes distributionalassumption concerning the statistic in question and samples from that distribution, whereas nonparametric bootstrapping samples from an empirical data set. Although this distributionalassumption is not without controversy, it represents a good starting point to obtain more analytical insights into the mechanism of volatility bounds and risk premia. It is difficult to establish the validity of any distributionalassumption, and this is a common criticism of random effects meta-analyses. From Wikipedia This example is from Wikipedia and may be reused under a CC BY-SA license. The latter has the advantage of making fewer assumptions whereas, the former tend to yield more powerful tests when the distributionalassumption is reasonable. From Wikipedia This example is from Wikipedia and may be reused under a CC BY-SA license. We now show a similar result for the total expected completion time under the stricter distributional assumptions described earlier. Bootstrapping compares arithmetic means, while avoiding distributional assumptions. Many widely used statistical procedures are known to be quite robust to violations of their distributional assumptions. They also present an analysis of identification without imposing distributional assumptions on the unobservables. Whereas alternative distributional assumptions for effect data await future work, non-normality was introduced for the cost data. Montgomerie fails to acknowledge efforts to deal with distributional assumptions. In the remainder of this section we provide characterizations of the optimal control problem described earlier without making any distributional assumptions for service times and lifetimes. We no longer have to make bold distributional assumptions about our data that have no evidentiary support, but whose violation could cause error in our inferences. The exact methods that do not make any distributional assumptions are referred to as exact nonparametric methods. From Wikipedia This example is from Wikipedia and may be reused under a CC BY-SA license. However, simulations have shown that methods are relatively robust even under extreme distributional assumptions, both in estimating heterogeneity, and calculating an overall effect size. From Wikipedia This example is from Wikipedia and may be reused under a CC BY-SA license. Bootstrap methods do not have any specific distributional assumptions and may be an appropriate tool to use like using re-sampling, which is one of the simplest bootstrap methods. From Wikipedia This example is from Wikipedia and may be reused under a CC BY-SA license. These examples are from corpora and from sources on the web. Any opinions in the examples do not represent the opinion of the Cambridge Dictionary editors or of Cambridge University Press or its licensors. Want to learn more? Go to the definition of assumption See other collocations with assumption |
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