The most basic normal distribution, where \(\mu=0\) and \(\sigma=1\), is given by the probability density function ... of the distribution determining the centre of the function and the standard ...

Over the past two months or so, I have focused my analysis on empirical probabilities through discretization, rather than ...

Know about the BITSAT syllabus in detail. Check the subject-wise topics, weightage, prep tips, best books on this page.

This valuable study investigates how stochastic and deterministic factors are integrated during cellular decision-making, particularly in situations where cells differentiate into distinct fates ...

Abstract: The stochastic nature of renewable energy sources (RESs) necessitates treating power system frequency response as a random process with a nonstationary probability density function (PDF).

Abstract: This letter is an additional contribution to the calculation of wind farm power curves and power probability density functions with the help of the logistic function and Jensen's model for ...

Endogenous intracellular allosteric modulators of GPCRs remain largely unexplored, with limited binding and phenotype data available. This gap arises from the lack of robust computational methods for ...

Statisticians and analysts use a metric known as the standard deviation to measure variations ... It illustrates normal probability and several graphs and distributions use it.

the "fatter" a probability distribution will be. In finance, if something like an investment has a greater variance, it may be interpreted as more risky or volatile. Standard deviation is the ...

Due to its complex geometrical configuration, a SC-SPET system’s response matrix comprises of individual components, i.e. projection probability density functions (PPDFs), with variable spatial ...