Test code: OP1201 The Blueprint Genetics Congenital Stationary Night Blindness Panel is a 17 gene test for genetic diagnostics of patients with clinical suspicion of congenital stationary night blindness. The panel covers genes associated with autosomal recessive, autosomal dominant and X-linked forms of congenital stationary night blindness (CSNB). The clinical utility of this diagnostic panel...

In this article we improve a goodness-of-fit test, of the Kolmogorov-Smirnov type, for equally distributed- but not stationary-strongly dependent data. The test is based on asymptotic behavior empirical process, which much more complex than in classical case. Applications to simulated data and discussion obtained results are provided. This is, best our knowledge, first result providing general ...

Injury risk from out-of-position (OOP) side airbag deployment has been assessed using stationary occupant test protocols. However, stationary conditions may not always represent real world OOP scenarios. Therefore, the objective of the present study was to evaluate the effects of OOP torso side airbag deployment, comparing a stationary test protocol with dynamic conditions. A combination of par...

Many time series are not second-order stationary and it is not appropriate to analyze them using methods designed for stationary series. This article introduces a new test for second-order stationarity that detects different kinds of departures from stationarity than those based on Fourier methods. The new test is also computationally fast, designed to work with Gaussian and a wide range of non...

Are unemployment rates stationary in Asia-Pacific countries? New findings from Fourier ADF test Fumitaka Furuoka To cite this article: Fumitaka Furuoka (2014) Are unemployment rates stationary in Asia-Pacific countries? New findings from Fourier ADF test, Economic Research-Ekonomska Istraživanja, 27:1, 34-45, DOI: 10.1080/1331677X.2014.947105 To link to this article: http://dx.doi.org/10.1080/1...

In this talk we present a procedure to test if a stationary process is Gaussian. The observation consists in a finite sample of a path of the process. The test is based on the fact (stablished in Cuesta-Albertos et al. (2007)) that, almost surely, a distribution is Gaussian iff a randomly chosen onedimensional projection is Gaussian, thus transforming the problema of testing the infinite-dimens...