Sentence examples for shape of a distribution from inspiring English sources

Some important questions in economics are answered by knowing the mean and the shape of a distribution.

The variability of a future eruption is commonly described by sets of critical ESPs defined as ranges and/or probability distributions, where the shape of a distribution reflects the degree of certainty for a particular scenario.

The shape of a distribution is usually characterized by its central tendency and its higher order moments, such as the dispersion and the skew, and these statistics do not tell anything about the existence of a plateau, i.e., a core.

When characterising the shape of a distribution, skewness and kurtosis (see Materials and Methods for definitions) provide an alternative to methods that analyse the histogram, such as Kullback-Leibler (KL) divergence.

The shape of a distribution curve depended on the location and size of the bin.

It has been also observed that the distribution curve is gradually reforming to approximate the shape of a Gaussian distribution when eigenstates approach the characteristic region represented by a random matrix.

Because the distribution of SRHS (apart from being discrete) resembled the shape of a normal distribution, a General Linear Model was used for the analysis of independent associations in the multivariable model.

Moreover, the lack of knowledge regarding the shape of a plausible distribution and the diversity of the data we are performing our computations on, make a versatile distribution function like the gamma, a reasonable assumption.

It is a descriptor of the shape of a probability distribution.

In a similar way to the concept of skewness, kurtosis is a descriptor of the shape of a probability distribution.

The 45 selected Q-statements from each of 22 participants were classified into the shape of a normal distribution using a 9-point scale.