Übersicht			Auf mobile öffnen

Lieferstatus:	Auf Bestellung (Lieferzeit unbekannt)
Veröffentlichung:	November 2022
Genre:	Schulbücher
	Angewandte Wahrscheinlichkeitsrechnung u. Statistik / Applied Probability & Statistics / Mathematical analysis / Mathematics / Mathematik / Mathematische Analyse / Probability & Mathematical Statistics / Statistics / Statistik / Stochastik / Wahrscheinlichkeitsrechnung / Wahrscheinlichkeitsrechnung u. mathematische Statistik
ISBN:	9781786308283
EAN-Code:	9781786308283
Verlag:	Wiley
Einband:	Gebunden
Sprache:	English
Dimensionen:	H 235 mm / B 156 mm / D 16 mm
Gewicht:	492 gr
Seiten:	272
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

This book is devoted to the study of stochastic measures (SMs). An SM is a sigma-additive in probability random function, defined on a sigma-algebra of sets. SMs can be generated by the increments of random processes from many important classes such as square-integrable martingales and fractional Brownian motion, as well as alpha-stable processes. SMs include many well-known stochastic integrators as partial cases. General Stochastic Measures provides a comprehensive theoretical overview of SMs, including the basic properties of the integrals of real functions with respect to SMs. A number of results concerning the Besov regularity of SMs are presented, along with equations driven by SMs, types of solution approximation and the averaging principle. Integrals in the Hilbert space and symmetric integrals of random functions are also addressed. The results from this book are applicable to a wide range of stochastic processes, making it a useful reference text for researchers and postgraduate or postdoctoral students who specialize in stochastic analysis.