Books > Science & Mathematics > Mathematics > Calculus & mathematical analysis > Differential equations
|
Buy Now
Pseudo-Regularly Varying Functions and Generalized Renewal Processes (Hardcover, 1st ed. 2018)
Loot Price: R3,446
Discovery Miles 34 460
|
|
Pseudo-Regularly Varying Functions and Generalized Renewal Processes (Hardcover, 1st ed. 2018)
Series: Probability Theory and Stochastic Modelling, 91
Expected to ship within 10 - 15 working days
|
One of the main aims of this book is to exhibit some fruitful links
between renewal theory and regular variation of functions.
Applications of renewal processes play a key role in actuarial and
financial mathematics as well as in engineering, operations
research and other fields of applied mathematics. On the other
hand, regular variation of functions is a property that features
prominently in many fields of mathematics. The structure of the
book reflects the historical development of the authors' research
work and approach - first some applications are discussed, after
which a basic theory is created, and finally further applications
are provided. The authors present a generalized and unified
approach to the asymptotic behavior of renewal processes, involving
cases of dependent inter-arrival times. This method works for other
important functionals as well, such as first and last exit times or
sojourn times (also under dependencies), and it can be used to
solve several other problems. For example, various applications in
function analysis concerning Abelian and Tauberian theorems can be
studied as well as those in studies of the asymptotic behavior of
solutions of stochastic differential equations. The classes of
functions that are investigated and used in a probabilistic context
extend the well-known Karamata theory of regularly varying
functions and thus are also of interest in the theory of functions.
The book provides a rigorous treatment of the subject and may serve
as an introduction to the field. It is aimed at researchers and
students working in probability, the theory of stochastic
processes, operations research, mathematical statistics, the theory
of functions, analytic number theory and complex analysis, as well
as economists with a mathematical background. Readers should have
completed introductory courses in analysis and probability theory.
General
Is the information for this product incomplete, wrong or inappropriate?
Let us know about it.
Does this product have an incorrect or missing image?
Send us a new image.
Is this product missing categories?
Add more categories.
Review This Product
No reviews yet - be the first to create one!
|
|
Email address subscribed successfully.
A activation email has been sent to you.
Please click the link in that email to activate your subscription.