Anzeige
Erschienen in:
2001 | OriginalPaper | Buchkapitel
Bounds of the variance
verfasst von : Dr.-Ing. Christoph Arndt
Erschienen in: Information Measures
Verlag: Springer Berlin Heidelberg
Enthalten in: Professional Book Archive
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
Information depends on the uncertainty of the signals that we observe. The uncertainty in these signals is commonly described by the variance, representing the power of the error. The variance is not a function of a probability distribution function, but a moment, i.e. a direct component of this distribution density. These moments are used to determine optimal estimators or to find limitations that these estimators cannot exceed. In the literature such limitations are known as bounds and we will adopt this denotation, which describes the main point of this chapter.