Predicts which telecom customers are likely to churn with 95% accuracy using real-world data features from usage, billing, and support data. Implements Sturges-based binning, one-hot encoding, ...
Abstract: Post-stratification is a variance reduction technique that groups samples in respective strata only after collecting the samples randomly. We incorporate this technique within an adaptive ...
Experts estimate that 3 to 7 percent of the global population has developmental dyscalculia, although it often goes undiagnosed. The disorder may be poorly understood, but it is very real—and so are ...
Sampling originated from DJ Kool Herc's Merry-Go-Round technique. Over time, the technique evolved and has created hip-hop songs with ties that go back decades. The legal battles with clearing samples ...
Pew Research Center designed this study to assess the current state of online survey sampling methods – both probability-based and opt-in – and determine their accuracy on general population estimates ...
Stratified sampling more effective than random sampling for detecting contaminants in infant formula
Producers of infant formula employ comprehensive food safety systems, including product testing to ensure those systems are working. A new study from the University of Illinois Urbana-Champaign finds ...
Abstract: This paper introduces a multiband spectrum sensing technique that utilizes nonuniform stratified sampling. Capitalising on the ability of the sampling scheme to suppress aliasing, the ...
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