Resampling-based methods for multiple hypothesis testing often lead to long run times when the number of tests is large. This paper presents a simple rule that substantially reduces computation by ...

Successful completion of this course demonstrate your achievement of the following learning outcomes for the MS-DS program: Define a composite hypothesis and the level of significance for a test with ...

Multiple hypothesis testing is an important part of many high-throughput data analysis workflows. A common objective is to maximize the number of discoveries while controlling the expected fraction of ...

The hypothesis of homogeneity of regression is discussed as the parallelity of regression surfaces or the equality of vectors of regression coefficents. Statistical tests are known but not generally ...

In the realm of technical product development, hypothesis testing acts as a bridge between design, data and decision-making. It enables teams to move beyond assumptions and validate their ideas ...

Download PDF More Formats on IMF eLibrary Order a Print Copy Create Citation In this paper, we re-examine two important aspects of the dynamics of relative primary commodity prices, namely the secular ...