Testing adaptive hypotheses of alloparenting in Agta foragers

Testing fuzzy hypotheses with vague data

The problem of testing fuzzy hypotheses in the presence of vague data is considered. A new method based on the necessity index of strict dominance (NSD) is suggested. An example hoe to apply the proposed test in statistical quality control is shown.

Adaptive seamless designs: selection and prospective testing of hypotheses.

There is a current trend towards clinical protocols which involve an initial "selection" phase followed by a hypothesis testing phase. The selection phase may involve a choice between competing treatments or different dose levels of a drug, between different target populations, between different endpoints, or between a superiority and a non-inferiority hypothesis. Clearly there can be benefits ...

An adaptive significance threshold criterion for massive multiple hypotheses testing

This research deals with massive multiple hypothesis testing. First regarding multiple tests as an estimation problem under a proper population model, an error measurement called Erroneous Rejection Ratio (ERR) is introduced and related to the False Discovery Rate (FDR). ERR is an error measurement similar in spirit to FDR, and it greatly simplifies the analytical study of error properties of m...

Adaptive Filtering Multiple Testing Procedures for Partial Conjunction Hypotheses

The partial conjunction (PC) alternative hypothesis H r/n 1 stipulates that at least r of n related basic hypotheses are non-null, making it a useful measure of replicability. Motivated by genomic problems we consider a setting with a large number M of partial conjunction null hypotheses to test, based on an n×M matrix of p-values. When r > 1 the hypothesis H 0 is composite. Validity versus the...

Statistical Testing of Hypotheses