When designing programs or software for the implementation of Monte Carlo (MC) hypothesis tests, we can save computation time by using sequential stopping boundaries. Such boundaries imply stopping ...

Given two populations π1 and π2 each characterized by a distribution density f(x, θ) which is assumed to be known, except for the value of the parameter θ. It is desired to test the composite ...

IDEALLY, any experiment should be terminated as soon as sufficient data are at hand to warrant the acceptance or rejection of the proposed hypothesis at an acceptable level of statistical significance ...

A genome-wide association study ascertains through genome, potential genetic associations between genetic polymorphism and observable traits or disease. 1, 2 Recent advances in DNA technology made it ...

Sequential hypothesis testing is a methodological framework that systematically evaluates data as it is acquired, enabling decisions to be made as soon as sufficient evidence is collected. This ...

We illustrate with an example determining the validity of a technology for predicting Gleason score upgrading from biopsy to postprostatectomy (the Chun nomogram) in a clinical population different ...