This research uses an advanced statistical technique to expand upon
the current understanding of war termination. Specifically, this
thesis addressed questions concerning the most relevant factors
toward predicting both the outcomes of interstate wars and the
winners of intrastate and extra-systemic wars, within the
limitations of the available data. Open-source war data from the
Correlates of War Project was analyzed using both binary and
multinomial logistic regression techniques. While the Correlates of
War Project did not necessarily focus its data collection efforts
on those variables historically associated with war termination, it
did provide a sufficient number of variables with which to
demonstrate the applicability of logistic regression techniques to
war termination analyses. As a consequence, every significant
logistic regression model contains a single relevant variable. For
both intrastate and extra-systemic wars, the duration of the
conflict was found to be most relevant to predicting the winner. In
contrast, the proportion of total casualties borne by a nation in
an interstate war was most relevant to predicting the manner in
which an interstate war ends. Conclusions drawn from this research
and suggestions for future statistical applications to war
termination studies were also discussed.
General
| Imprint: |
Biblioscholar
|
| Country of origin: |
United States |
| Release date: |
October 2012 |
| First published: |
October 2012 |
| Authors: |
Paul D. Robinson
|
| Dimensions: |
246 x 189 x 8mm (L x W x T) |
| Format: |
Paperback - Trade
|
| Pages: |
154 |
| ISBN-13: |
978-1-249-58460-5 |
| Categories: |
Books >
Social sciences >
Education >
General
Promotions
|
| LSN: |
1-249-58460-4 |
| Barcode: |
9781249584605 |
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