The linear model often serves as a starting point for applying statistics in psychology. Often,
formal training beyond the linear model is limited, creating a potential pedagogical gap …

This paper reviews and offers tutorials on robust statistical methods relevant to clinical and
experimental psychopathology researchers. We review the assumptions of one of the most …

We report multiple lines of evidence for a stochastic signal that is correlated among 67
pulsars from the 15 yr pulsar timing data set collected by the North American Nanohertz …

We search for an isotropic stochastic gravitational-wave background (GWB) in the 12.5 yr
pulsar-timing data set collected by the North American Nanohertz Observatory for …

The current pandemic wave of COVID-19 has resulted in significant uncertainty for the
general public. Mental health and examining factors that may influence distress have been …

Both seasonal and annual mean precipitation and evaporation influence patterns of water
availability impacting society and ecosystems. Existing global climate studies rarely consider …

The purpose of this study is to utilize reinforcement learning in order to improve the
performance of the Sand Cat Swarm Optimization algorithm (SCSO). In this paper, we …

Electricity theft is harmful to power grids. Integrating information flows with energy flows,
smart grids can help to solve the problem of electricity theft owning to the availability of …

The economic and ecological costs of wildfire in the United States have risen substantially in
recent decades. Although climate change has likely enabled a portion of the increase in …

This paper introduces the R package WRS2 that implements various robust statistical
methods. It elaborates on the basics of robust statistics by introducing robust location …