Background The National Heart Failure Audit gathers data on patients coded at discharge (or death) as having heart failure as ...

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 ranking methodology places Barry Bonds over Babe Ruth as the game’s best player ever. Statisticians, at least, are cheering. By Alexander Nazaryan Every sport has its arguments over which player ...

The Model Context Protocol (MCP) is an open standard (open-sourced by Anthropic) that defines a unified way to connect AI assistants (LLMs) with external data sources and tools. Think of MCP as a ...

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 ...

Apple's rumored new iPhone 17 Air model has entered the new product introduction phase (NPI) at Foxconn, according to supply chain sources (via DigiTimes). The NPI phase transitions a product from ...

In our previous articles, we’ve talked about the exciting possibilities of search funds, a form of Entrepreneurship Through Acquisition (ETA). Let’s take a step back—what exactly is ETA? ETA is a ...

ABSTRACT: Using the fact that a multivariate random sample of n observations also generates n nearest neighbour distance (NND) univariate observations and from these NND observations, a set of n ...

Abstract: Anticholinergic (AC) drugs are commonly prescribed to older adults for treating diseases and chronic conditions, such as chronic obstructive pulmonary disease, urinary incontinence, ...

Statistical seismology represents a promising and active research field in earthquake forecasting applications. It combines rigorous statistical methods and earth science, with the aim of improving ...