Decision Systems and Nonstochastic Randomness (Hardcover, 2010 Ed.)

"Decision Systems and Non-stochastic Randomness" is the first systematic presentation and mathematical formalization (including existence theorems) of the statistical regularities of non-stochastic randomness. The results presented in this book extend the capabilities of probability theory by providing mathematical techniques that allow for the description of uncertain events that do not fit standard stochastic models. The book demonstrates how non-stochastic regularities can be incorporated into decision theory and information theory, offering an alternative to the subjective probability approach to uncertainty and the unified approach to the measurement of information. This book is intended for statisticians, mathematicians, engineers, economists or other researchers interested in non-stochastic modeling and decision theory.

General

Imprint:	Springer-Verlag New York
Country of origin:	United States
Release date:	April 2010
First published:	2010
Authors:	V. I. Ivanenko
Dimensions:	240 x 168 x 20mm (L x W x T)
Format:	Hardcover - Cloth over boards
Pages:	272
Edition:	2010 Ed.
ISBN-13:	978-1-4419-5547-0
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Business & Economics > Business & management > Management & management techniques > Operational research Books > Business & Economics > Business & management > Business mathematics & systems > General Books > Science & Mathematics > Mathematics > Optimization > Game theory Books > Science & Mathematics > Mathematics > Applied mathematics > General
LSN:	1-4419-5547-X
Barcode:	9781441955470

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