Sentence examples for useful distribution of from inspiring English sources

Delicately designed insulators lead to useful distribution of the electric field as well as the resulting electrostatic forces that are associated with the field, such as DEP, electrophoretic, and electro-osmotic forces.

Because of this fact the useful distribution of A-scores is between the values 50 and 100 and is driven by the large variation in the remaining two A-score components, Consistency and Overall-cost.

Injection as aerosols in a carrier gas could be a viable method for achieving useful distributions of amendments in unsaturated materials.

In this subsection, we give some useful distributions of the sin2 and cos2 of the angle between a vector and a subspace.

Common Probability Distributions - A Compendium which covers numbers of useful distributions for modeling of random data.

Useful distributions, law of large numbers and central limit theorem, point estimation, hypothesis testing, confidence intervals maximum likelihood, likelihood ratio tests, nonparametric procedures, theory of least squares and analysis of variance.

Useful distributions, law of large numbers and central limit theorem, point estimation, hypothesis testing, confidence intervals, maximum likelihood, likelihood ratio tests, nonparametric procedures, theory of least squares and analysis of variance.

The Student- t distribution and the mixture of Dirichlet processes are useful distributions in case of heterogeneity in the mean or variance of the biomarker measurements, or in case of outlying values.

This course covers the following topics: Fundamentals of probability theory and statistical inference used in data science; Probabilistic models, random variables, useful distributions, expectations, law of large numbers, central limit theorem; Statistical inference; point and confidence interval estimation, hypothesis tests, linear regression.

This mean generalises not only logarithmic mean (when s = − 1 ), which is particularly useful in distribution of electrical charge of a conductor, but also arithmetic mean (when s = 1 ) and geometric mean (when s = − 2 ).

The Poisson regression model adjusts for data skewness by using a log transformation and is useful for distributions of nonnegative data, and data for which the variance increases as the mean.