For characterizing the genetic mechanisms of complex diseases familial data with multiple correlated quantitative traits are usually collected in genetic studies. To analyze such data, various multivariate tests have been proposed to investigate the association between the underlying disease genes and the multiple traits. Although these multivariate association tests may have better power perfo...

This paper derives asymptotic approximations to the power of Cramer-von Mises (CvM) style tests for inference on a finite dimensional parameter defined by conditional moment inequalities in the case where the parameter is set identified. Combined with power results for Kolmogorov-Smirnov (KS) tests, these results can be used to choose the optimal test statistic, weighting function and, for test...

Abstract The maximum mean discrepancy (MMD) test is a nonparametric kernelised two-sample that, when using characteristic kernel, can detect any distributional change between two samples. However, the total number of $$d$$ d -dimensional observations $$n$$ n , direct computation statistic $$\...

We present a goodness of ̄t test for time series models based on the discrete spectral average estimator. Unlike current tests of goodness of ̄t, the asymptotic distribution of our test statistic allows the null hypothesis to be either a short or long range dependence model. Our test is in the frequency domain, is easy to compute and does not require the calculation of residuals from the ̄tted mod...

BACKGROUND: Because of wrong sitting position, children have back-pain and related musculoskeletal pain (MPD). Due to inappropriate designed class furniture by not taking into account the children’s anthropometric measurements negative effect on systems. The impact COVID-19 pandemic crisis has changed industry’s production trends. OBJECTIVE: This study aimed develop a new fuzzy based design erg...

The test statistics Ih, Ic, and In are derived by decomposing the numerator of the Moran’s I test for high-value clustering, lowvalue clustering, and negative autocorrelation, respectively. Formulae to compute the means and variances of these test statistics are derived under a random permutation test scheme, and the p-values of the test statistics are computed by asymptotic normality. A set of...

Based on local optimality, a novel sequential detection scheme is proposed in this paper. The performance of the proposed scheme is compared with that of the sequential probability ratio test (SPRT) and truncated SPRT (TSPRT). The proposed scheme is shown to have higher efficiency, lower complexity, and smaller computational requirements than the SPRT at the cost of partially lower detectabilit...