It started with some colored pencils. A little girl said her favorite color was pink. Her dad said he could prove her wrong. He took all her colored pencils and lined them up by length. The result was ...

Missing data present a perennial challenge in scientific research, potentially undermining the validity of conclusions if not addressed rigorously. The analysis of missing data encompasses a broad ...

There are a lot of serious data quality problems in real world datasets: incomplete, redundant, inconsistent and noisy. Missing data is a common issue in data mining and knowledge discovery. It is ...

Purpose Missing data are a well-known and widely documented problem in cost-effectiveness analyses alongside clinical trials using individual patient-level data. Current methodological research ...

Missing rainfall data are a major limitation for distributed hydrological modeling and climate studies. Practitioners need reliable approaches that can be employed on a daily basis, often with too ...