Oxford University Press, Usa

Poisson Processes (Oxford Studies in Probability)

Free shipping with 3 or more products in your cart
Payflex: Pay in 4 interest-free payments of R1,152.75. Read the FAQ
R 5,658 19% off Limited time offer
R 4,611
In stock
Low stock in USA warehouse Order soon to secure your order
Used, Good Condition
Duties, insurance and VAT included
Delivered in 10–20 working days —
Free shipping with 3 or more products in your cart
Secure checkout
Your payment is fully protected
Duties & VAT included
No surprise charges at the door
Tracked delivery
Track your order end to end
Returns support
30-day return window

Description

Condition - Very Good

The item shows wear from consistent use but remains in good condition. It may arrive with damaged packaging or be repackaged.

  • Used Book in Good Condition

Two fundamental theories are commonly debated in the study of random processes: the Bachelier Wiener model of Brownian motion, which has been the subject of many books, and the Poisson process. While nearly every book mentions the Poisson process, most hurry past to more general point processes or to Markov chains. This comparative neglect is ill judged, and stems from a lack of perception of the real importance of the Poisson process. This distortion partly comes about from a restriction to one dimension, while the theory becomes more natural in more general contexts. This book attempts to redress the balance. It records the author's fascination with the beauty and wide applicability of Poisson processes in one or more dimensions. The mathematical theory is powerful and a few key results often produce surprising consequences.

Technical Specifications
Manufacturer
Clarendon Press
Height
1.4 cm
Length
23.7 cm
Width
19.6 cm
Weight
0.34 kg
Shipping & Delivery

Your order is shipped from the USA and delivered to your door in South Africa in 10–20 working days. All items are fully tracked.

Returns & Exchanges

We offer a 30-day return window. If something isn't right, contact our support team and we'll make it right.