While there are many benefits of good test estimation, it is important to note the influences that are involved in an overall test estimation project.

Rohit Kumar Patra, Bodhisattva Sen, Estimation of a two-component mixture model with applications to multiple testing, Journal of the Royal Statistical Society.

Consequently testing becomes an issue of economics: how much is it worth to test the software relative to its development cost?

Finite mixture models are a useful class of models for application to data. When sample sizes are not large and the number of underlying densities is in question, likelihood ratio tests based on joint ...

Statistical testing and lower bounds in distributed estimation constitute a rapidly evolving area that addresses both the design of robust tests for assessing data properties across networked ...

Adaptive test adheres to the standard approach for post-manufacturing testing of mixed-signal circuits, but offers better control test time and achieves robust outlier detection.

Collaboration combines LambdaTest’s AI-native test automation with Lab49’s advanced domain expertise in capital markets to accelerate software delivery for financial institutions.

Each molecular test has its own diagnostic sensitivity: the minimal percentage of mutant alleles present in the sample for the mutation to be detected by the test.