Join Books.org — it's free

Computers & Internet
Linear Models in the Mathematics of Uncertainty by John N. Mordeson β€” book cover

Linear Models in the Mathematics of Uncertainty

by John N. Mordeson
Available on Bookshop Write a review

Books.org participates in affiliate programs including Bookshop.org and the Amazon Services LLC Associates Program. We may earn a commission from qualifying purchases made through links on this page, at no additional cost to you.

Log in to track your reading progress.

Synopsis

The purpose of this book is to present new mathematical techniques for modeling global issues. These mathematical techniques are used to determine linear equations between a dependent variable and one or more independent variables in cases where standard techniques such as linear regression are not suitable.

In this book, we examine cases where the number of data points is
small (effects of nuclear warfare), where the experiment is not repeatable (the breakup of the former Soviet Union), and where the data is derived from expert opinion (how conservative is a political party). In all these cases the data is difficult to measure and an assumption of randomness and/or statistical validity is questionable.

We apply our methods to real world issues in international relations such as nuclear deterrence, smart power, and cooperative threat reduction. We next apply our methods to issues in comparative politics such as successful democratization, quality of life, economic freedom, political stability, and failed states. Finally, issues involving deaf and hard of hearing children are explored.

Reviews

There are no reviews yet. Log in to write one.

Book Details

Published
January 1, 2013
Publisher
Springer Berlin Heidelberg
Pages
265
Format
Hardcover
ISBN
9783642352232

More by John N. Mordeson

Similar books