This article presents confidence interval methods for improving on the standard F tests in the balanced, completely between-subjects, fixed-effects analysis of variance. Exact confidence intervals for omnibus effect size measures, such as or and the root-mean-square standardized effect, provide all the information in the traditional hypothesis test and more. They allow one to test simultaneousl...

This study was undertaken to compare several methods of evaluating the common assumption that laboratory data may be treated as if they had been drawn from an underlying Gaussian distribution. As had been described earlier, the usual Kolmogorov-Smirnov test was found to be unsatisfactory due to its sensitivity to rounding. In addition, a recently suggested modification also was shown to be unsu...

The labour sector and industrial relations are pivotal for Indonesia’s development, especially in the current neo-capitalist setting. Therefore, this article examined Indonesian law its through a comparative analysis with Islamic principles, particularly after revision 2020 Omnibus Law. Using socio-legal methodology, it analysed historical political contexts of Acts on to determine their tenden...

Objective Amyotrophic lateral sclerosis (ALS) clinical trials based on single end points only partially capture the full treatment effect when both function and mortality are affected, and may falsely dismiss efficacious drugs as futile. We aimed to investigate the statistical properties of several strategies for the simultaneous analysis of function and mortality in ALS clinical trials. Meth...

We consider goodness–of–fit testing for multivariate stable distributions. The proposed test statistics exploit a characterizing property of the characteristic function of these distributions and are consistent under some conditions. The asymptotic distribution is derived under the null hypothesis as well as under local alternatives. Conditions for an asymptotic null distribution free of parame...

Large-scale hypothesis testing problems, with hundreds or thousands of test statistics “zi” to consider at once, have become familiar in current practice. Applications of popular analysis methods such as false discovery rate techniques do not require independence of the zi’s, but their accuracy can be compromised in high-correlation situations. This paper presents computational and theoretical ...

The objective of this work was to study, among breast cancer patients, if Internet health information use is associated with coping. Questionnaires were completed (n = 178) regarding Internet use and also coping as measured by the Brief Cope. MANOVA analyses were conducted for the 14 coping subscales. Following a significant MANOVA omnibus test, univariate ANOVA and multivariate ANCOVA analyses...