While often confused, the Kolmogorov–Smirnov test and the Smirnov test are actually distinct.
Specifically, the Kolmogorov–Smirnov test is used to test the goodness of fit of a given set …

… which contribute toward establishing the KolmogorovSmirnov statistic as a standard non…
Smirnov statistic. A table will be presented which facilitates the use of the KolmogorovSmirnov …

… Mikheyev-Smirnov: Resonance phenomenon was uncovered, the properties of the resonance
… Smirnov, Talk given at ’86 massive neutrinos in astrophysics and in particle physics. SP …

We discuss a generalization of the classical Kolmogorov–Smirnov test, which is suitable to
analyse random samples defined in two or three dimensions. This test provides some …

Goodness-of-fit statistics measure the compatibility of random samples against some
theoretical probability distribution function. The classical one-dimensional Kolmogorov-Smirnov …

The evolution of large atomic clusters exposed to a super-intense ultrashort laser pulse is
considered. Cluster excitation results from the interaction of its electron subsystem with the …

The test is based on the maximum difference between an empirical and a hypothetical
cumulative distribution. Percentage points are tabled, and a lower bound to the power function is …

A comprehensive textbook and reference for the study of the physics of ionized gases The
intent of this book is to provide deep physical insight into the behavior of gases containing …

A differential inclusion is a relation of the form $ dot x in F (x) $, where $ F $ is a set-valued
map associating any point $ x in R^ n $ with a set $ F (x) subset R^ n $. As such, the notion of …

International Series of Monographs in Pure and Applied Mathematics, Volume 62: A Course
of Higher Mathematics, V: Integration and Functional Analysis focuses on the theory of …