Predicting suicide attacks : : integrating spatial, temporal, and social features of terrorist attack targets / / Walter L. Perry [and seven others].
As part of an exploration of ways to predict what determines the targets of suicide attacks, RAND conducted a proof-of-principle analysis of whether adding sociocultural, political, economic, and demographic factors would enhance the predictive ability of a methodology that focused on geospatial fea...
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Superior document: | Rand Corporation monograph series |
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Place / Publishing House: | Santa Monica, CA : : RAND Corporation,, 2013. |
Year of Publication: | 2013 |
Language: | English |
Series: | Rand Corporation monograph series.
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Physical Description: | 1 online resource (xxv, 85 pages) :; illustrations (some color) |
Notes: | Description based upon print version of record. |
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Table of Contents:
- Cover; Title Page; Copyright; Preface; Contents; Figures; Tables; Summary; Acknowledgments; Abbreviations; CHAPTER ONE: Introduction and Overview; Background; About This Report; CHAPTER TWO: Quantitative Data and Methods; Quantitative Data; Socioeconomic Characteristics; Demographic Characteristics; Electoral Data; Proximity to Terrorist Safe Houses; Sociocultural Precipitants; Principal Component Analysis and Logistic Regression; Logistic Regression; Dimension Reduction; Classification and Regression Trees; Sociocultural Precipitants Analysis; Results of Quantitative Data Analysis
- Principal Components Analysis Logistic Regression Models; Classification and Regression Trees; Sociocultural Precipitants; Summing Up; CHAPTER THREE: Qualitative Analysis; Methodology; Hypotheses Driving the Use of the Methodology; Assumptions in Using the Methodology; Restrictions; Timing; Results of Qualitative Data Analysis; Identification of Codes; Distribution of Codes; Retargeting of Previously Attacked Locations; Dispersion of Attacks over Time; Assessment of Transportation Targets; Comparison of Codes to a Subject-Matter Expert Hypothesis; CHAPTER FOUR: Conclusions and Recommendations
- Conclusions from Quantitative Data Analysis Conclusions from Qualitative Data Analysis; Recommendations for Further Research; Regression Analyses and Classification; Sociocultural Precipitants; Transferability; Appendixes; A. Sociocultural Precipitant Database; B. Logistic Regression Output; About the Authors; Bibliography