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On a sphere of influence graph in a one-dimensional space

Zbigniew Palka, Monika Sperling (2005)

Discussiones Mathematicae Graph Theory

A sphere of influence graph generated by a finite population of generated points on the real line by a Poisson process is considered. We determine the expected number and variance of societies formed by population of n points in a one-dimensional space.

On an interval-partitioning scheme

Marcel Neuts, Jian-Min Li, Charles Pearce (1999)

Applicationes Mathematicae

In a recent paper, Neuts, Rauschenberg and Li [10] examined, by computer experimentation, four different procedures to randomly partition the interval [0,1] into m intervals. The present paper presents some new theoretical results on one of the partitioning schemes. That scheme is called Random Interval (RI); it starts with a first random point in [0,1] and places the kth point at random in a subinterval randomly picked from the current k subintervals (1

On calculation of zeta function of integral matrix

Jiří Janáček (2009)

Mathematica Bohemica

Values of the Epstein zeta function of a positive definite matrix and the knowledge of matrices with minimal values of the Epstein zeta function are important in various mathematical disciplines. Analytic expressions for the matrix theta functions of integral matrices can be used for evaluation of the Epstein zeta function of matrices. As an example, principal coefficients in asymptotic expansions of variance of the lattice point count in the random ball are calculated for some lattices.

On estimation of intrinsic volume densities of stationary random closed sets via parallel sets in the plane

Tomáš Mrkvička, Jan Rataj (2009)

Kybernetika

A method of estimation of intrinsic volume densities for stationary random closed sets in d based on estimating volumes of tiny collars has been introduced in T. Mrkvička and J. Rataj, On estimation of intrinsic volume densities of stationary random closed sets, Stoch. Proc. Appl. 118 (2008), 2, 213-231. In this note, a stronger asymptotic consistency is proved in dimension 2. The implementation of the method is discussed in detail. An important step is the determination of dilation radii in the...

On invariants of random planar endomorphisms

Teimuraz Aliashvili (2003)

Banach Center Publications

We estimate the expected value of the gradient degree of certain Gaussian random polynomials in two variables and discuss its relations with some other numerical invariants of random polynomials

On random fractals with infinite branching: definition, measurability, dimensions

Artemi Berlinkov (2013)

Annales de l'I.H.P. Probabilités et statistiques

We investigate the definition and measurability questions of random fractals with infinite branching, and find, under certain conditions, a formula for the upper and lower Minkowski dimensions. For the case of a random self-similar set we obtain the packing dimension.

On set covariance and three-point test sets

Jan Rataj (2004)

Czechoslovak Mathematical Journal

The information contained in the measure of all shifts of two or three given points contained in an observed compact subset of d is studied. In particular, the connection of the first order directional derivatives of the described characteristic with the oriented and the unoriented normal measure of a set representable as a finite union of sets with positive reach is established. For smooth convex bodies with positive curvatures, the second and the third order directional derivatives of the characteristic...

On testing of general random closed set model hypothesis

Tomáš Mrkvička (2009)

Kybernetika

A new method of testing the random closed set model hypothesis (for example: the Boolean model hypothesis) for a stationary random closed set Ξ d with values in the extended convex ring is introduced. The method is based on the summary statistics – normalized intrinsic volumes densities of the ε -parallel sets to Ξ . The estimated summary statistics are compared with theirs envelopes produced from simulations of the model given by the tested hypothesis. The p-level of the test is then computed via approximation...

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