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Asymptotic Behaviour of Linearly Transformed Sums of Random Variables

Aus der Reihe Mathematics and Its Applications
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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

26.10.2012

Abbildungen

XV, 504 p.

Verlag

Springer Netherland

Seitenzahl

504

Maße (L/B/H)

24/16/2,9 cm

Gewicht

828 g

Auflage

Softcover reprint of the original 1st ed. 1997

Sprache

Englisch

ISBN

978-94-010-6346-3

Beschreibung

Rezension

`
The book contains a rich amount of new material that can be of interest to many researchers. Numerous sections will be of use to researchers who work with Gaussian processes, stochastic recurrence relations, operator normed sums and weighted sums. Many topics appear in this monographic form for the first time. The excellent bibliographic list contains over 200 titles.! I strongly recommend this book to anyone interested in strong limit theorems.
'




kwantitative methoden, 59 (1998)

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

26.10.2012

Abbildungen

XV, 504 p.

Verlag

Springer Netherland

Seitenzahl

504

Maße (L/B/H)

24/16/2,9 cm

Gewicht

828 g

Auflage

Softcover reprint of the original 1st ed. 1997

Sprache

Englisch

ISBN

978-94-010-6346-3

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: ProductSafety@springernature.com

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  • Produktbild: Asymptotic Behaviour of Linearly Transformed Sums of Random Variables
  • Produktbild: Asymptotic Behaviour of Linearly Transformed Sums of Random Variables
  • I Random series and linear transformations of sequences of independent random elements.- 0 Random elements and their convergence (preliminary notions).- 1 Series of independent random elements.- 2 Linear transformations of independent random elements and series in sequence spaces.- II Limit theorems for operator-normed sums of independent random vectors and their applications.- 3 Operator-normed sums of independent random vectors.- 4 Operator-normed sums of independent identically distributed random vectors.- 5 Asymptotic properties of Gaussian Markov sequences.- 6 Continuity of sample paths of Gaussian Markov processes.- 7 Asymptotic properties of recurrent random sequences.- 8 The interplay between strong and weak limit theorems for sums of independent random variables.- Comments.- Subject indcx.- List of Notations.