"We expect the CPI report to show a meaningful payback after collection issues, due to the government shutdown," said Oscar ...

Discover how credibility theory helps actuaries use historical data to estimate risks and set insurance premiums; learn how ...

M.S. in Biodiversity Data Analytics Program Director Viorel Popescu examines why biodiversity commitments are running into a ...

An interdisciplinary team of University of Tennessee, Knoxville researchers recently published in Biophysical Journal on their development of a new statistical method that improves analysis in ...

Statistical models predict stock trends using historical data and mathematical equations. Common statistical models include regression, time series, and risk assessment tools. Effective use depends on ...

A new study by Shanghai Jiao Tong University and SII Generative AI Research Lab (GAIR) shows that training large language models (LLMs) for complex, autonomous tasks does not require massive datasets.

Students in the School of Social and Behavioral Sciences and those studying forensic psychology may encounter difficulty in their statistics and research methods classes, but the Statistics and ...

Abstract: A cost-sensitive statistical fault detection method based on correlation analysis is proposed for the detection of industrial robot joint metal powder faults in the case of small samples.

The purpose of the research was to identify problems which leads to poor response rates in industrial censuses and surveys in Southern Africa countries particularly in Zimbabwe. The research was ...

Objectives This scoping review aims to identify and synthesise existing statistical methods used to assess the progress of HIV treatment programmes in terms of the HIV cascade and continuum of care ...