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 ...

The field of software reliability has become increasingly vital as software systems underpin many aspects of modern life. Software reliability growth models (SRGMs) offer a quantitative means of ...

A new technique enables users to compare several large models and choose the one that works best for their task. Foundation models are massive deep-learning models that have been pretrained on an ...

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 ...