Stochastic Modelling of Social Processes

Stochastic Modelling of Social Processes
Author :
Publisher :
Total Pages : 362
Release :
ISBN-10 : UCAL:B4451434
ISBN-13 :
Rating : 4/5 (34 Downloads)

Book Synopsis Stochastic Modelling of Social Processes by : Andreas Diekmann

Download or read book Stochastic Modelling of Social Processes written by Andreas Diekmann and published by . This book was released on 1984 with total page 362 pages. Available in PDF, EPUB and Kindle. Book excerpt:


Stochastic Modelling of Social Processes Related Books

Stochastic Modelling of Social Processes
Language: en
Pages: 362
Authors: Andreas Diekmann
Categories: Mathematics
Type: BOOK - Published: 1984 - Publisher:

DOWNLOAD EBOOK

Security Markets
Language: en
Pages: 682
Authors: Darrell Duffie
Categories: Business & Economics
Type: BOOK - Published: 1988-07-28 - Publisher: Academic Press Incorporated

DOWNLOAD EBOOK

This is an introduction to the theory of security markets, dealing principally with the allocational role and valuation of financial securities in a competitive
Stochastic Dynamics of Structures
Language: en
Pages: 426
Authors: Jie Li
Categories: Technology & Engineering
Type: BOOK - Published: 2009-07-23 - Publisher: John Wiley & Sons

DOWNLOAD EBOOK

In Stochastic Dynamics of Structures, Li and Chen present a unified view of the theory and techniques for stochastic dynamics analysis, prediction of reliabilit
Stochastic Modelling of Electricity and Related Markets
Language: en
Pages: 352
Authors: Fred Espen Benth
Categories: Business & Economics
Type: BOOK - Published: 2008 - Publisher: World Scientific

DOWNLOAD EBOOK

The markets for electricity, gas and temperature have distinctive features, which provide the focus for countless studies. For instance, electricity and gas pri
An Introduction to Stochastic Modeling
Language: en
Pages: 410
Authors: Howard M. Taylor
Categories: Mathematics
Type: BOOK - Published: 2014-05-10 - Publisher: Academic Press

DOWNLOAD EBOOK

An Introduction to Stochastic Modeling provides information pertinent to the standard concepts and methods of stochastic modeling. This book presents the rich d