A technique is presented for the treatment of errors introduced into sampling surveys due to the non-availability of respondents. The expected cost and variance of the sample survey are expressed as ...

Ravishankar, Pavan, Qingyu Mo, Edward McFowland III, and Daniel B. Neill. "Provable Detection of Propagating Sampling Bias in Prediction Models." Proceedings of the AAAI Conference on Artificial ...

verybody has a favorite color and season—preferences that seem innate, always defying reason. Auditors are no different when it comes to haphazard sampling, a process in which—ideally—they choose ...

Comparisons of the metabolic rates of species, populations, and treatment groups of animals are common. However, the data used in these comparisons may not be truly equivalent. We report the effects ...

Machine learning methods have emerged as promising tools to predict antimicrobial resistance (AMR) and uncover resistance determinants from genomic ...

LONDON, Nov. 11 (UPI) --Most research looking at how and why people sample information focuses on "confirmation bias," the idea that people self-select information that confirms what they already ...