A simple random sample is a subset of a statistical population where each member of the population is equally likely to be ...
Abstract: Traditionally, the uncertainty qualification is utilized with the known probability distribution function (PDF). However, in some scenarios, the PDFs of some uncertain variables are modeled ...
Abstract: With its inherent causal reasoning and superior capacity for handling uncertainty, the belief rule base (BRB) has been widely applied in complex systems modeling. As a generalization of ...
This study combines satisfaction, achievement motivation, and social identity theories to construct a dynamic discrete choice ...
REM (rapid eye movement) and non-REM (NREM) sleep stages contribute to systems memory consolidation in hippocampal-cortical circuits. However, the physiological mechanisms underlying REM memory ...
Other scientists have investigated the idea of a hidden structure further. David Bohm, a 20th-century physicist, built a ...
This manuscript presents important findings that challenge traditional models of speech processing by demonstrating that theta-gamma phase-amplitude coupling in the auditory cortex is primarily a ...
Classifying a variable as a particular type of data is important when considering how to present the data. Data can be presented in a number of ways, which depends on the type of variable and the uses ...
Ancient dice dating back 12,000 years suggest early humans understood chance and probability long before mathematics emerged.
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