zbMATH — the first resource for mathematics

Geometry Search for the term Geometry in any field. Queries are case-independent.
Funct* Wildcard queries are specified by * (e.g. functions, functorial, etc.). Otherwise the search is exact.
"Topological group" Phrases (multi-words) should be set in "straight quotation marks".
au: Bourbaki & ti: Algebra Search for author and title. The and-operator & is default and can be omitted.
Chebyshev | Tschebyscheff The or-operator | allows to search for Chebyshev or Tschebyscheff.
"Quasi* map*" py: 1989 The resulting documents have publication year 1989.
so: Eur* J* Mat* Soc* cc: 14 Search for publications in a particular source with a Mathematics Subject Classification code (cc) in 14.
"Partial diff* eq*" ! elliptic The not-operator ! eliminates all results containing the word elliptic.
dt: b & au: Hilbert The document type is set to books; alternatively: j for journal articles, a for book articles.
py: 2000-2015 cc: (94A | 11T) Number ranges are accepted. Terms can be grouped within (parentheses).
la: chinese Find documents in a given language. ISO 639-1 language codes can also be used.

a & b logic and
a | b logic or
!ab logic not
abc* right wildcard
"ab c" phrase
(ab c) parentheses
any anywhere an internal document identifier
au author, editor ai internal author identifier
ti title la language
so source ab review, abstract
py publication year rv reviewer
cc MSC code ut uncontrolled term
dt document type (j: journal article; b: book; a: book article)
On the relationship between fractal dimension and fractal index for stationary stochastic processes. (English) Zbl 0798.60035
The real number $d$ is said to be the fractal dimension of a sample path on an interval of some stationary square-integrable stochastic process $X\sb t$ if $d$ is the Hausdorff dimension of the path as a subset in $\bbfR\sp 2$. On the other hand the fractional index $\alpha$ of this process is defined by $$\alpha = \sup \bigl\{ \beta \mid 1-\text{cov} (X\sb 0, X\sb t) = O (t\sp \beta) \quad \text{as} \quad t \downarrow 0 \bigr\}.$$ The authors give sufficient conditions that $d=2 - \alpha/2$ is valid provided that $X\sb t = g(Z\sb t)$ for a smooth function $g$ and $Z\sb t$ is a stationary Gaussian process. It may be happen that $X\sb t$ is non-Gaussian.

60G10Stationary processes
60G15Gaussian processes
62G05Nonparametric estimation
Full Text: DOI