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A Predictive Logistic Regression Model Of World Conflict Using Open Source Data

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Item specifics

Condition
New: A new, unread, unused book in perfect condition with no missing or damaged pages. See the ...
ISBN-13
9781519773777
Type
NA
Publication Name
NA
ISBN
9781519773777
Book Title
Predictive Logistic Regression Model of World Conflict Using Open Source Data
Publisher
CreateSpace
Item Length
11 in
Publication Year
2015
Format
Trade Paperback
Language
English
Item Height
0.2 in
Author
Air Force Air Force Institute of Technology
Genre
Political Science
Topic
Security (National & International)
Item Weight
11.5 Oz
Item Width
8.5 in
Number of Pages
102 Pages

About this product

Product Information

Nations transitioning into conflict is an issue of national interest. This book considers various data for inclusion in a statistical model that predicts the future state of the world where nations will either be in a state of "violent conflict" or "not in violent conflict" based on available historical data. Logistic regression is used to construct and test various models to produce a parsimonious world model with 15 variables. Open source data for the previous year is not immediately available for predicting the following year, so an approach is developed that ensures only historical data that would be available for such a prediction is used. Further analysis shows that nations differ significantly by geographical area. Therefore six sub-models are constructed for differing geographical areas of the world. The dominant variables for each sub-model vary, suggesting a complex world that cannot be modeled as a whole. Insights and conclusions are gathered from the models, a best model is proposed, and predictions are made for the state of the world in 2015. Accuracy of predictions via validation surpass 80%. Eighty-five nations are predicted to be in a state of violent conflict in 2015, seventeen of them are new to conflict since the last published list in 2013. A prediction tool is created to allow war-game subject matter experts and students to identify future predicted violent conflict and the responsible variables.

Product Identifiers

Publisher
CreateSpace
ISBN-10
1519773773
ISBN-13
9781519773777
eBay Product ID (ePID)
234723921

Product Key Features

Book Title
Predictive Logistic Regression Model of World Conflict Using Open Source Data
Number of Pages
102 Pages
Language
English
Publication Year
2015
Topic
Security (National & International)
Genre
Political Science
Author
Air Force Air Force Institute of Technology
Format
Trade Paperback

Dimensions

Item Height
0.2 in
Item Weight
11.5 Oz
Item Length
11 in
Item Width
8.5 in

Additional Product Features

Target Audience
Trade

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Premier Books LLC
David Taylor
26C Trolley Sq
19806-3356 Wilmington, DE
United States
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