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A Future Beyond Animal Testing: Why ORIVA Matters and How Computational Models Bridge the Gap

Animal testing is costly, slow, and poorly predictive. ORIVA offers a human-relevant alternative with the potential to change that.
JSTOR Daily

Testing Hypotheses about Absolute Concentration Curves and Marginal Conditional Stochastic Dominance

We consider statistical tests concerning various relationships between two absolute concentration curves (ACCs). In particular, we consider tests for determining if the two ACCs coincide, if one is ...
JSTOR Daily

Testing relevant hypotheses in functional time series via self-normalization

This is a preview. Log in through your library . Abstract We develop methodology for testing relevant hypotheses about functional time series in a tuning-free way. Instead of testing for exact ...
Sacramento State University

Hypothesis Testing 4

In Hypothesis Testing 1, 2 and 3, you have used normal and t-distributions to test hypotheses. Chi-Square tests use the Chi-Square probability distribution. You will be introduced to the use of that ...
New Scientist

Testing hypotheses and being human

Diana Kwon discusses our brains making predictions to test against incoming data (1 October, p 30). This reminded me of a chat with the late, great neuropsychologist Richard Gregory. He believed that ...
The Next Web

15 ways to test your minimum viable product

Chris Bank is the Growth Lead at UXPin, the UX Design App. He recently co-authored the Guide to UX Design & Process Documentation. Though the MVP provides a means to test hypotheses as a starting ...