hypothesis testing

© 2 Bayesian statistical analysis provides a useful alternative to classical statistical methods for testing hypotheses. Tools… Expand

One-dimensional (1D) kinematic, force, and EMG trajectories are often analyzed using zero-dimensional (0D) metrics like local… Expand

A functional regression model with a scalar response and multiple functional predictors is proposed that accommodates two-way… Expand

Clinical research studies generate data that need to be shared and statistically analyzed by their participating institutions… Expand

Researchers investigated the effects of a multidimensional lifestyle intervention on aerobic fitness and adiposity in… Expand

Functional magnetic resonance imaging (fMRI) was used to examine differences in brain activation that occur when a person… Expand

Difference between “Clinical Significance and Statistical Significance” should be kept in mind while interpreting “statistical… Expand

One of the primary challenges in noninvasive brain-computer interface (BCI) control is low information transfer rate (ITR). An… Expand

We propose a novel non-parametric solution for accurate distance-based source localization in wireless sensor networks (WSN's… Expand

We used event-related potentials (ERPs) to probe the effects of feedback in a hypothesis testing (HT) paradigm. Thirteen college… Expand