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White test is a statistical test that establishes whether the variance of the errors in a regression model is constant: that is for homoskedasticity. This test, and an estimator for heteroscedasticity-consistent standard errors , were proposed by Halbert White in 1980. [ 1 ]
The purpose of the comparison is to determine which candidate model is most appropriate for statistical inference. Common criteria for comparing models include the following: R 2, Bayes factor, and the likelihood-ratio test together with its generalization relative likelihood. For more on this topic, see statistical model selection.
The name Kura Te Au originates from the red colour of the sea caused by a variety of plankton and the high populations of crustacean krill. According to legend, Kura Te Au is where Kupe killed the giant, mythical octopus, Te Wheke-a-Muturangi, causing its blood to run through the channel, turning the water red.
In statistics, asymptotic theory, or large sample theory, is a framework for assessing properties of estimators and statistical tests. Within this framework, it is often assumed that the sample size n may grow indefinitely; the properties of estimators and tests are then evaluated under the limit of n → ∞. In practice, a limit evaluation is ...
Linearized PDF files (also called "optimized" or "web optimized" PDF files) are constructed in a manner that enables them to be read in a Web browser plugin without waiting for the entire file to download, since all objects required for the first page to display are optimally organized at the start of the file. [26]
In Māori mythology, Te Wheke-a-Muturangi is a monstrous octopus destroyed in Whekenui Bay, Tory Channel or at Patea by Kupe the navigator. The octopus was a pet or familiar of Muturangi, a powerful tohunga of Hawaiki. The wheke was nonetheless a wild creature and a guardian. When Kupe reached New Zealand, he encountered the beast off Castlepoint.
Fisher required the existence of a sufficient statistic for the fiducial method to apply. Suppose there is a single sufficient statistic for a single parameter. That is, suppose that the conditional distribution of the data given the statistic does not depend on the value of the parameter.