Systems aren’t truly random—outcomes are shaped by structure, constraints, and time, just like reliability performance in ...

Abstract: This article analyzes the stability of probabilistic Boolean networks (PBNs) with switching discrete probability distribution (DPD). First, the dynamics of PBNs with switching DPD is ...

This is an important work implementing data mining methods on IMC data to discover spatial protein patterns related to the triple-negative breast cancer patients' chemotherapy response. The evidence ...

Discover how probability distribution methods can help predict stock market returns and improve investment decisions. Learn to assess risk and potential gains.

Evenly distributing forage inoculants is a critical factor in their effectiveness. The bacteria in the inoculants grow where they land on the forage, so it’s important to apply the product evenly ...

In statistics, the expected value of a random variable is a measure of the central tendency of its probability distribution. In simple terms, it gives you an idea of what value you should expect to ...

dxxx(x,) returns the density or the value on the y-axis of a probability distribution for a discrete value of x pxxx(q,) returns the cumulative density function (CDF) or the area under the curve to ...