Don't waste good methods on bad buffers and ambiguous data

Don't waste good methods on bad buffers and ambiguous data.

Good Data, Bad Data, and Process Behavior Charts

In order to understand how different amounts of measurement error will affect the ability of a process behavior chart to detect process changes we shall construct some artificial data with a known structure and with known changes and see how the charts react. Let Y denote the product values. Let E denote the measurement errors. And let X denote the product measurements. Thus our model for a giv...

Doing good buffers against feeling bad: Prosocial impact compensates for negative task and self-evaluations

Although evidence suggests that negative task and self-evaluations are associated with emotional exhaustion, little research has examined factors that buffer against these effects. We propose that perceived prosocial impact, the experience of helping others, compensates for negative task and self-evaluations by focusing attention on positive outcomes for others. In Study 1, perceived prosocial ...

The Good, the Bad, and the Ambiguous: The Aggregate Stock Market Dynamics around Macroeconomic News

Using a representative agent model in which the investor is averse to ambiguity (Knightian uncertainty) and sees an ambiguous piece of news about the fundamental value of a risky asset, I show a number of predictions for the dynamics of stocks around news: Stocks respond more strongly to bad news than to good news, respond positively to neutral news, and increase on average through news. In tim...

Good and bad fever

Fever is considered a key actor of innate immunity aimed to fight infection. A new investigation reports an association of the use of antipyretic drugs with poorer outcome among patients with sepsis. In contrast, high temperature in non-infectious intensive care patients is associated with higher mortality.