One approach to inference uses large sample approximations to the sampling distribution of the log odds ratio ( the natural logarithm of the odds ratio ).
32.
In the sense that the ( unconditional ) sampling distribution of this one is the same as the underlying distribution of what you are sampling from.
33.
Only the ranking between candidate solutions is exploited for learning the sample distribution and neither derivatives nor even the function values themselves are required by the method.
34.
In order to determine the statistical significance of the indirect effect, a statistic based on the indirect effect must be compared to its null sampling distribution.
35.
A first relevant question is whether it is possible or not to distinguish between uniform and boson-sampling distributions by performing a polynomial number of measurements.
36.
Another use of Haar measure in statistics is in conditional inference, in which the sampling distribution of a statistic is conditioned on another statistic of the data.
37.
The trend test exploits the suspected effect direction to increase power, but this does not affect the sampling distribution of the test statistic under the null hypothesis.
38.
Fisher's emphasis on the sampling distribution of a statistic was extended by Jerzy Neyman and Egon Pearson with greater precision and wider applications, which Hotelling recognized.
39.
For these hypothesis tests, as the sample size, n, increases, the sampling distribution of the test statistic approaches the normal distribution ( Central Limit Theorem ).
40.
For the purpose of hypothesis testing or estimating confidence intervals, the standard error is primarily of use when the sampling distribution is normally distributed, or approximately normally distributed.
