Sentence examples for a continuous probability distribution from inspiring English sources

Log-normal distributions are used for a continuous probability distribution of a random variable whose logarithm is distributed according to the normal distribution.

We use a simple logistic function (a type of sigmoid function)79 to characterize the S-shaped curve of the molecular weight cutoff data and its derivative is a continuous probability distribution, which is a probability density function can be used to determine the pore size distribution.

The goal is to overcome data size and quality limitations and provide best estimates of emission response to fuel composition change by identifying a continuous probability distribution with a high likelihood of representing the data and high correlation to the experimental observations.

We start with a continuous probability distribution ℙ on the real line.

The bubble occurrence probability is characterized by a continuous probability distribution as a function of the PRE peak V i.

GEV (Generalized Extreme Value Distribution) is a continuous probability distribution method that uses three parameters: location, scale and shape.

Conformational sampling is based on the biased probability Monte Carlo procedure, which randomly selects a conformation in the internal coordinate space and then moves randomly to a new position independent of the previous one, according to a predefined continuous probability distribution.

Conformational sampling was based on the biased probability Monte Carlo (BPMC) procedure, which randomly selects a conformation in the internal coordinate space and then makes a step to a new random position independent of the previous one, but according to a predefined continuous probability distribution.

The normal or Gaussian distribution was adopted in this study, as it is a characteristic continuous probability distribution based on the central limit theorem.

The condition that the critical points be pre-periodic is strong, but similar chaotic properties with an absolutely continuous probability distribution can be derived if the orbits of the critical points do not come back too close too soon in a suitable sense.

1. Understand the difference between a discrete and continuous probability distribution.