منابع مشابه
Accurate statistical tests for smooth classification images.
Despite an obvious demand for a variety of statistical tests adapted to classification images, few have been proposed. We argue that two statistical tests based on random field theory (RFT) satisfy this need for smooth classification images. We illustrate these tests on classification images representative of the literature from F. Gosselin and P. G. Schyns (2001) and from A. B. Sekuler, C. M. ...
متن کاملDeterministic Seasonality in Dickey-Fuller Tests: Should we Care?∗
This paper investigates the properties of Dickey-Fuller tests for seasonally unadjusted quarterly data when deterministic seasonality is present but it is neglected in the test regression. While for the random walk case the answer is straightforward, an extensive Monte Carlo study has to be performed for more realistic processes and testing strategies. The most important conclusion is that the ...
متن کاملSmooth Tests of Fit for Finite Mixture Distributions
Mixture distributions have become a very flexible and common class of distributions, used in many different applications, but hardly any literure can be found on tests for assessing their goodnes of fit. We propose two types of smooth tests of goodness of fit for mixture distributions. The first test is a genuine smooth test, and the second test makes explicitly use of the mixture structure. In...
متن کاملAgreement Probabilities for Some CPIT - Neyman Smooth Tests
The CPIT transformations do not, in general, give the same set of transformed values for different orderings of the observations in a sample. When these transformations are followed by a test of uniformity to give an overall goodness-of-fit test, it is possible to obtain different results for different orderings of a sample. We consider here the probability that two goodness-of-fit tests based ...
متن کاملPower of the Neyman smooth tests for the uniform distribution
This paper compares and investigates the generalised Neyman smooth test, its components, and the classical chi-squared test with a variety of equiprobable classes. Each test is evaluated in terms of its power to reject a wavelike alternative to the uniform distribution, chosen to quantify the complexity of the alternative. Results indicate that if broadly focused tests (rather than strongly dir...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Korean Journal of Applied Statistics
سال: 2011
ISSN: 1225-066X
DOI: 10.5351/kjas.2011.24.1.045