Abstract: Assumptions play a pivotal role in the selection and efficacy of statistical models, as unmet assumptions can lead to flawed conclusions and impact decision-making. In both traditional ...
A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
The first step in conducting a regression-based study is to specify a model. In real applications, this is usually the most challenging step - deciding which variables “belong” in the model and which ...
eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...
Statistical modeling continues to deliver distinct value to businesses both independent of, and in concert with, machine learning. “Artificial intelligence” (AI) and “machine learning” are among the ...
The aim of "precision medicine" is to devise individualised treatment strategies and therapies. Statistical methods play an important role in predicting the efficacy of drugs from clinical study data, ...
Stand Out With This 100% Online Certificate. In a data-driven world, you can build the specialized skills needed to meet the growing demand for those with applied statistics expertise. With Michigan ...
Learn how hedonic regression helps estimate factors affecting prices in real estate and consumer goods, aiding in precise ...