Andere Kunden interessierten sich auch für
![Statistical Image Recovery from Laser Speckle Patterns with Polarization Diversity]( "Statistical Image Recovery from Laser Speckle Patterns with Polarization Diversity")
Statistical Image Recovery from Laser Speckle Patterns with Polarization Diversity59,99 €![Statistical Approach to Background Subtraction for Production of High-Quality Silhouettes for Human Gait Recognition]( "Statistical Approach to Background Subtraction for Production of High-Quality Silhouettes for Human Gait Recognition")
Statistical Approach to Background Subtraction for Production of High-Quality Silhouettes for Human Gait Recognition59,99 €![Using Statistical Process Control Methods to Classify Pilot Mental Workload]( "Using Statistical Process Control Methods to Classify Pilot Mental Workload")
Using Statistical Process Control Methods to Classify Pilot Mental Workload59,99 €![Statistical Removal of Shadow for Applications to Gait Recognition]( "Statistical Removal of Shadow for Applications to Gait Recognition")
Statistical Removal of Shadow for Applications to Gait Recognition59,99 €![Assessing the Usefulness of Visualization Tools to Investigate Hidden Patterns Within Insider Attack Cases]( "Assessing the Usefulness of Visualization Tools to Investigate Hidden Patterns Within Insider Attack Cases")
Assessing the Usefulness of Visualization Tools to Investigate Hidden Patterns Within Insider Attack Cases59,99 €![Comparison of Climatological Optical Turbulence Profiles to Standard, Statistical and Numerical Models Using Heleeos]( "Comparison of Climatological Optical Turbulence Profiles to Standard, Statistical and Numerical Models Using Heleeos")
Comparison of Climatological Optical Turbulence Profiles to Standard, Statistical and Numerical Models Using Heleeos59,99 €![A Recommendation of Statistical Analysis for Test and Evaluation]( "A Recommendation of Statistical Analysis for Test and Evaluation")
A Recommendation of Statistical Analysis for Test and Evaluation59,99 €
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.